diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/README.md b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..59c54f748174f4e984712590d684373f7a9505b9
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/README.md
@@ -0,0 +1,58 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: transformers
+model_name: Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+---
+
+# Model Card for Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1
+
+This model is a fine-tuned version of [Qwen/Qwen3.5-4B-Base](https://huggingface.co/Qwen/Qwen3.5-4B-Base).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[
](https://wandb.ai/katriin-kukk/Cross_lingual_morphological_generalization/runs/9ofk4atd)
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.29.0
+- Transformers: 5.5.4
+- Pytorch: 2.10.0
+- Datasets: 4.6.1
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+
+```bibtex
+@software{vonwerra2020trl,
+ title = {{TRL: Transformers Reinforcement Learning}},
+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+ license = {Apache-2.0},
+ url = {https://github.com/huggingface/trl},
+ year = {2020}
+}
+```
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/README.md b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..915ad76760dee641ab750b62daaa3f74153ec2c1
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/README.md
@@ -0,0 +1,58 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: transformers
+model_name: Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+---
+
+# Model Card for Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2
+
+This model is a fine-tuned version of [Qwen/Qwen3.5-4B-Base](https://huggingface.co/Qwen/Qwen3.5-4B-Base).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[
](https://wandb.ai/katriin-kukk/Cross_lingual_morphological_generalization/runs/7hobmaco)
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.29.0
+- Transformers: 5.5.4
+- Pytorch: 2.10.0
+- Datasets: 4.6.1
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+
+```bibtex
+@software{vonwerra2020trl,
+ title = {{TRL: Transformers Reinforcement Learning}},
+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+ license = {Apache-2.0},
+ url = {https://github.com/huggingface/trl},
+ year = {2020}
+}
+```
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/README.md b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/adapter_config.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f34a9da6fde155c2a6d8fec9848a329fa629c1a0
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_bias": false,
+ "lora_dropout": 0.04879530666124931,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 16,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "v_proj",
+ "gate_proj",
+ "q_proj",
+ "k_proj",
+ "down_proj",
+ "up_proj",
+ "o_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/chat_template.jinja b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/tokenizer_config.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/trainer_state.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cee5b94ece8468964d39275c3976c96d9d1d15d
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1245/trainer_state.json
@@ -0,0 +1,307 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 3.0,
+ "eval_steps": 500,
+ "global_step": 1245,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 2.1012717413902284,
+ "epoch": 0.12070006035003017,
+ "grad_norm": 1.2028698921203613,
+ "learning_rate": 3.313127220682932e-05,
+ "loss": 1.9106788635253906,
+ "mean_token_accuracy": 0.6147816297411919,
+ "num_tokens": 117421.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.0568797352910042,
+ "epoch": 0.24140012070006034,
+ "grad_norm": 0.707794725894928,
+ "learning_rate": 6.693869282604292e-05,
+ "loss": 0.9455691528320312,
+ "mean_token_accuracy": 0.7514659878611565,
+ "num_tokens": 235894.0,
+ "step": 100
+ },
+ {
+ "entropy": 0.8912339144945145,
+ "epoch": 0.3621001810500905,
+ "grad_norm": 0.6819370985031128,
+ "learning_rate": 0.0001007461134452565,
+ "loss": 0.7901513671875,
+ "mean_token_accuracy": 0.7814472052454948,
+ "num_tokens": 354448.0,
+ "step": 150
+ },
+ {
+ "entropy": 0.8389395973086358,
+ "epoch": 0.4828002414001207,
+ "grad_norm": 0.6772453188896179,
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+ "loss": 0.7409224700927735,
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+ ],
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+ "max_steps": 4150,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
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+}
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/README.md b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/adapter_config.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f34a9da6fde155c2a6d8fec9848a329fa629c1a0
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_bias": false,
+ "lora_dropout": 0.04879530666124931,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 16,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "v_proj",
+ "gate_proj",
+ "q_proj",
+ "k_proj",
+ "down_proj",
+ "up_proj",
+ "o_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/chat_template.jinja b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/tokenizer_config.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/tokenizer_config.json
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+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/trainer_state.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..387fc51aeaaeb8301b7ba2f229b9916d88991f24
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-1660/trainer_state.json
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diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/README.md b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/adapter_config.json b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f34a9da6fde155c2a6d8fec9848a329fa629c1a0
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_bias": false,
+ "lora_dropout": 0.04879530666124931,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 16,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "v_proj",
+ "gate_proj",
+ "q_proj",
+ "k_proj",
+ "down_proj",
+ "up_proj",
+ "o_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/chat_template.jinja b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Estonian/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2075/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..c0b760d461b3f157686e7e7bd177dcc2ffd4f503
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1206/trainer_state.json
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+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
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+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..3a92ee880d12f4e2435bf456a9fedcb80a94a44e
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-1608/trainer_state.json
@@ -0,0 +1,398 @@
+{
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+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 4.0,
+ "eval_steps": 500,
+ "global_step": 1608,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a6cff6288c16ba99f551c54b5bc43fa34969502
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2010/trainer_state.json
@@ -0,0 +1,489 @@
+{
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+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 5.0,
+ "eval_steps": 500,
+ "global_step": 2010,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
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+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
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+ },
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+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2412/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
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new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
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new file mode 100644
index 0000000000000000000000000000000000000000..f04791c89b9ad1be3e5ba0876552aafbdeb6114a
--- /dev/null
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+ "loss": 0.18675100326538085,
+ "mean_token_accuracy": 0.936633392572403,
+ "num_tokens": 5142673.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.26483887039124965,
+ "epoch": 5.597758405977584,
+ "grad_norm": 0.4668729305267334,
+ "learning_rate": 0.00019109562936036546,
+ "loss": 0.18501157760620118,
+ "mean_token_accuracy": 0.9365152379870415,
+ "num_tokens": 5259364.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.2524403877556324,
+ "epoch": 5.722291407222914,
+ "grad_norm": 0.5033115148544312,
+ "learning_rate": 0.00018252945380348672,
+ "loss": 0.1812763023376465,
+ "mean_token_accuracy": 0.9381375980377197,
+ "num_tokens": 5376956.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.25848230116069315,
+ "epoch": 5.846824408468244,
+ "grad_norm": 0.6071104407310486,
+ "learning_rate": 0.0001739917094731765,
+ "loss": 0.18280351638793946,
+ "mean_token_accuracy": 0.9371961706876755,
+ "num_tokens": 5492490.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.2512618475407362,
+ "epoch": 5.971357409713574,
+ "grad_norm": 0.5169245004653931,
+ "learning_rate": 0.00016549848716637528,
+ "loss": 0.1812678337097168,
+ "mean_token_accuracy": 0.93798923432827,
+ "num_tokens": 5613602.0,
+ "step": 2400
+ },
+ {
+ "epoch": 6.0,
+ "eval_entropy": 0.35272262487993683,
+ "eval_loss": 0.6165693998336792,
+ "eval_mean_token_accuracy": 0.8541817599257757,
+ "eval_num_tokens": 5640174.0,
+ "eval_runtime": 80.0797,
+ "eval_samples_per_second": 17.183,
+ "eval_steps_per_second": 2.148,
+ "step": 2412
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 2.3282680816735027e+17,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..612e893d7b070888f9b8cfe654dd300a290a733f
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-2814/trainer_state.json
@@ -0,0 +1,671 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 7.0,
+ "eval_steps": 500,
+ "global_step": 2814,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
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+ "num_tokens": 234541.0,
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+ "epoch": 0.37359900373599003,
+ "grad_norm": 0.4728560149669647,
+ "learning_rate": 0.00014649072521004207,
+ "loss": 0.6014968490600586,
+ "mean_token_accuracy": 0.8303881451487541,
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+ "step": 150
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+ "epoch": 0.49813200498132004,
+ "grad_norm": 0.5458584427833557,
+ "learning_rate": 0.00019564868668992197,
+ "loss": 0.5789081954956055,
+ "mean_token_accuracy": 0.8367286545038223,
+ "num_tokens": 472595.0,
+ "step": 200
+ },
+ {
+ "entropy": 0.6431240077316761,
+ "epoch": 0.6226650062266501,
+ "grad_norm": 0.6594698429107666,
+ "learning_rate": 0.0002448066481698019,
+ "loss": 0.562723274230957,
+ "mean_token_accuracy": 0.8406605333089828,
+ "num_tokens": 590160.0,
+ "step": 250
+ },
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+ "entropy": 0.6416522780060768,
+ "epoch": 0.7471980074719801,
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+ "learning_rate": 0.0002939646096496817,
+ "loss": 0.5631664657592773,
+ "mean_token_accuracy": 0.8386288139224053,
+ "num_tokens": 706659.0,
+ "step": 300
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+ "entropy": 0.6282059556245804,
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+ "grad_norm": 0.4643607437610626,
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+ "mean_token_accuracy": 0.8415955656766891,
+ "num_tokens": 821763.0,
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+ },
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+ "entropy": 0.6296975083649159,
+ "epoch": 0.9962640099626401,
+ "grad_norm": 0.5332581400871277,
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+ "mean_token_accuracy": 0.8401218938827515,
+ "num_tokens": 936946.0,
+ "step": 400
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.6447091469931048,
+ "eval_loss": 0.5722090005874634,
+ "eval_mean_token_accuracy": 0.8409275641275007,
+ "eval_num_tokens": 940029.0,
+ "eval_runtime": 81.0912,
+ "eval_samples_per_second": 16.969,
+ "eval_steps_per_second": 2.121,
+ "step": 402
+ },
+ {
+ "entropy": 0.592438119981024,
+ "epoch": 1.1195516811955168,
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5aa0e6f2f73336eecbaaaf2dddc342931503406
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3216/trainer_state.json
@@ -0,0 +1,762 @@
+{
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+ "best_metric": null,
+ "best_model_checkpoint": null,
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+ "is_hyper_param_search": false,
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+ "is_world_process_zero": true,
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..e070d6390426aea66bd08e2ff7c747864c573f0f
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-3618/trainer_state.json
@@ -0,0 +1,853 @@
+{
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+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 9.0,
+ "eval_steps": 500,
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+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
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+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.4901950953099264e+17,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..f4526185e7096bb5bc0e8e66ad9463a16fc5deaa
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-402/trainer_state.json
@@ -0,0 +1,125 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 1.0,
+ "eval_steps": 500,
+ "global_step": 402,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.4945576781034469,
+ "epoch": 0.12453300124533001,
+ "grad_norm": 0.7291187047958374,
+ "learning_rate": 4.8174802250282295e-05,
+ "loss": 1.3015669250488282,
+ "mean_token_accuracy": 0.7135214237868786,
+ "num_tokens": 114583.0,
+ "step": 50
+ },
+ {
+ "entropy": 0.7246888878941536,
+ "epoch": 0.24906600249066002,
+ "grad_norm": 0.5772781372070312,
+ "learning_rate": 9.733276373016218e-05,
+ "loss": 0.642754135131836,
+ "mean_token_accuracy": 0.8242821827530861,
+ "num_tokens": 234541.0,
+ "step": 100
+ },
+ {
+ "entropy": 0.6838392898440361,
+ "epoch": 0.37359900373599003,
+ "grad_norm": 0.4728560149669647,
+ "learning_rate": 0.00014649072521004207,
+ "loss": 0.6014968490600586,
+ "mean_token_accuracy": 0.8303881451487541,
+ "num_tokens": 351327.0,
+ "step": 150
+ },
+ {
+ "entropy": 0.6594706049561501,
+ "epoch": 0.49813200498132004,
+ "grad_norm": 0.5458584427833557,
+ "learning_rate": 0.00019564868668992197,
+ "loss": 0.5789081954956055,
+ "mean_token_accuracy": 0.8367286545038223,
+ "num_tokens": 472595.0,
+ "step": 200
+ },
+ {
+ "entropy": 0.6431240077316761,
+ "epoch": 0.6226650062266501,
+ "grad_norm": 0.6594698429107666,
+ "learning_rate": 0.0002448066481698019,
+ "loss": 0.562723274230957,
+ "mean_token_accuracy": 0.8406605333089828,
+ "num_tokens": 590160.0,
+ "step": 250
+ },
+ {
+ "entropy": 0.6416522780060768,
+ "epoch": 0.7471980074719801,
+ "grad_norm": 0.3835357427597046,
+ "learning_rate": 0.0002939646096496817,
+ "loss": 0.5631664657592773,
+ "mean_token_accuracy": 0.8386288139224053,
+ "num_tokens": 706659.0,
+ "step": 300
+ },
+ {
+ "entropy": 0.6282059556245804,
+ "epoch": 0.8717310087173101,
+ "grad_norm": 0.4643607437610626,
+ "learning_rate": 0.0003431225711295616,
+ "loss": 0.5579532241821289,
+ "mean_token_accuracy": 0.8415955656766891,
+ "num_tokens": 821763.0,
+ "step": 350
+ },
+ {
+ "entropy": 0.6296975083649159,
+ "epoch": 0.9962640099626401,
+ "grad_norm": 0.5332581400871277,
+ "learning_rate": 0.00039228053260944153,
+ "loss": 0.5614005279541016,
+ "mean_token_accuracy": 0.8401218938827515,
+ "num_tokens": 936946.0,
+ "step": 400
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.6447091469931048,
+ "eval_loss": 0.5722090005874634,
+ "eval_mean_token_accuracy": 0.8409275641275007,
+ "eval_num_tokens": 940029.0,
+ "eval_runtime": 81.0912,
+ "eval_samples_per_second": 16.969,
+ "eval_steps_per_second": 2.121,
+ "step": 402
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.894650812304794e+16,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..b0a4461638ada4411fed26742808352c4406414c
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-4020/trainer_state.json
@@ -0,0 +1,944 @@
+{
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+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 10.0,
+ "eval_steps": 500,
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+ "is_world_process_zero": true,
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+ "eval_steps_per_second": 2.137,
+ "step": 3618
+ },
+ {
+ "entropy": 0.12957414030802972,
+ "epoch": 9.079701120797012,
+ "grad_norm": 0.12944698333740234,
+ "learning_rate": 1.0165791844757058e-05,
+ "loss": 0.06388524055480957,
+ "mean_token_accuracy": 0.9766391768600001,
+ "num_tokens": 8531214.0,
+ "step": 3650
+ },
+ {
+ "entropy": 0.11808951755985618,
+ "epoch": 9.204234122042342,
+ "grad_norm": 0.13890483975410461,
+ "learning_rate": 7.626917365702756e-06,
+ "loss": 0.05949122905731201,
+ "mean_token_accuracy": 0.9785410597920418,
+ "num_tokens": 8652483.0,
+ "step": 3700
+ },
+ {
+ "entropy": 0.1274303700402379,
+ "epoch": 9.32876712328767,
+ "grad_norm": 0.10332873463630676,
+ "learning_rate": 5.44610698688034e-06,
+ "loss": 0.06253890991210938,
+ "mean_token_accuracy": 0.9769675573706627,
+ "num_tokens": 8767142.0,
+ "step": 3750
+ },
+ {
+ "entropy": 0.11402286102995277,
+ "epoch": 9.453300124533001,
+ "grad_norm": 0.12605386972427368,
+ "learning_rate": 3.627470807587018e-06,
+ "loss": 0.05756766319274902,
+ "mean_token_accuracy": 0.9795342680811882,
+ "num_tokens": 8889508.0,
+ "step": 3800
+ },
+ {
+ "entropy": 0.12327373247593641,
+ "epoch": 9.577833125778332,
+ "grad_norm": 0.13971152901649475,
+ "learning_rate": 2.1744363496994704e-06,
+ "loss": 0.06330667495727539,
+ "mean_token_accuracy": 0.9768437051773071,
+ "num_tokens": 9000626.0,
+ "step": 3850
+ },
+ {
+ "entropy": 0.12451133135706187,
+ "epoch": 9.70236612702366,
+ "grad_norm": 0.13401846587657928,
+ "learning_rate": 1.0897420979397859e-06,
+ "loss": 0.060658202171325684,
+ "mean_token_accuracy": 0.9773744866251945,
+ "num_tokens": 9118844.0,
+ "step": 3900
+ },
+ {
+ "entropy": 0.11562174517661333,
+ "epoch": 9.826899128268991,
+ "grad_norm": 0.11007044464349747,
+ "learning_rate": 3.7543233874618285e-07,
+ "loss": 0.059203782081604005,
+ "mean_token_accuracy": 0.9786800450086593,
+ "num_tokens": 9240716.0,
+ "step": 3950
+ },
+ {
+ "entropy": 0.1279593655653298,
+ "epoch": 9.951432129514322,
+ "grad_norm": 0.1578713208436966,
+ "learning_rate": 3.285330747582018e-08,
+ "loss": 0.06231212615966797,
+ "mean_token_accuracy": 0.9761605298519135,
+ "num_tokens": 9354788.0,
+ "step": 4000
+ },
+ {
+ "epoch": 10.0,
+ "eval_entropy": 0.23064094478654307,
+ "eval_loss": 0.9308294057846069,
+ "eval_mean_token_accuracy": 0.8536452148542848,
+ "eval_num_tokens": 9400290.0,
+ "eval_runtime": 80.0259,
+ "eval_samples_per_second": 17.194,
+ "eval_steps_per_second": 2.149,
+ "step": 4020
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.8801038188323635e+17,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9bde257ac079039d07b5273a88438c0c0f378c8
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 64,
+ "lora_bias": false,
+ "lora_dropout": 0.04293738824192794,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..c31fe5a61963d343feea2b3021c122e4ef90ea76
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test1/checkpoint-804/trainer_state.json
@@ -0,0 +1,216 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 2.0,
+ "eval_steps": 500,
+ "global_step": 804,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.4945576781034469,
+ "epoch": 0.12453300124533001,
+ "grad_norm": 0.7291187047958374,
+ "learning_rate": 4.8174802250282295e-05,
+ "loss": 1.3015669250488282,
+ "mean_token_accuracy": 0.7135214237868786,
+ "num_tokens": 114583.0,
+ "step": 50
+ },
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+ "entropy": 0.7246888878941536,
+ "epoch": 0.24906600249066002,
+ "grad_norm": 0.5772781372070312,
+ "learning_rate": 9.733276373016218e-05,
+ "loss": 0.642754135131836,
+ "mean_token_accuracy": 0.8242821827530861,
+ "num_tokens": 234541.0,
+ "step": 100
+ },
+ {
+ "entropy": 0.6838392898440361,
+ "epoch": 0.37359900373599003,
+ "grad_norm": 0.4728560149669647,
+ "learning_rate": 0.00014649072521004207,
+ "loss": 0.6014968490600586,
+ "mean_token_accuracy": 0.8303881451487541,
+ "num_tokens": 351327.0,
+ "step": 150
+ },
+ {
+ "entropy": 0.6594706049561501,
+ "epoch": 0.49813200498132004,
+ "grad_norm": 0.5458584427833557,
+ "learning_rate": 0.00019564868668992197,
+ "loss": 0.5789081954956055,
+ "mean_token_accuracy": 0.8367286545038223,
+ "num_tokens": 472595.0,
+ "step": 200
+ },
+ {
+ "entropy": 0.6431240077316761,
+ "epoch": 0.6226650062266501,
+ "grad_norm": 0.6594698429107666,
+ "learning_rate": 0.0002448066481698019,
+ "loss": 0.562723274230957,
+ "mean_token_accuracy": 0.8406605333089828,
+ "num_tokens": 590160.0,
+ "step": 250
+ },
+ {
+ "entropy": 0.6416522780060768,
+ "epoch": 0.7471980074719801,
+ "grad_norm": 0.3835357427597046,
+ "learning_rate": 0.0002939646096496817,
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+ },
+ {
+ "entropy": 0.3098256988823414,
+ "epoch": 4.976338729763388,
+ "grad_norm": 0.8682230114936829,
+ "learning_rate": 0.00010895126614732359,
+ "loss": 0.23128936767578126,
+ "mean_token_accuracy": 0.923048702776432,
+ "num_tokens": 4677603.0,
+ "step": 2000
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.39352814238085304,
+ "eval_loss": 0.5585312247276306,
+ "eval_mean_token_accuracy": 0.8575408472571262,
+ "eval_num_tokens": 4700145.0,
+ "eval_runtime": 79.6426,
+ "eval_samples_per_second": 17.265,
+ "eval_steps_per_second": 2.16,
+ "step": 2010
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.9406889736070554e+17,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 128,
+ "lora_bias": false,
+ "lora_dropout": 0.05833860659003597,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..50d900a9fcac9aae8527b238bb08019169c228a2
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2412/trainer_state.json
@@ -0,0 +1,580 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 6.0,
+ "eval_steps": 500,
+ "global_step": 2412,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
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+ "epoch": 0.6226650062266501,
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 128,
+ "lora_bias": false,
+ "lora_dropout": 0.05833860659003597,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
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+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..ac7931ff2d677518a7d58e6d7e2b3d60ad97a40a
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-2814/trainer_state.json
@@ -0,0 +1,671 @@
+{
+ "best_global_step": null,
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+ "best_model_checkpoint": null,
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/adapter_config.json
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+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
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diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3216/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..1bcf7771889782c86b574c7285983e2c77084ba1
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+ "eval_loss": 0.7382693290710449,
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+ "eval_num_tokens": 6580203.0,
+ "eval_runtime": 79.5655,
+ "eval_samples_per_second": 17.281,
+ "eval_steps_per_second": 2.162,
+ "step": 2814
+ },
+ {
+ "entropy": 0.15347467818193966,
+ "epoch": 7.089663760896638,
+ "grad_norm": 0.45861202478408813,
+ "learning_rate": 4.36446660204407e-05,
+ "loss": 0.08010212898254394,
+ "mean_token_accuracy": 0.9720996783839332,
+ "num_tokens": 6661238.0,
+ "step": 2850
+ },
+ {
+ "entropy": 0.1345258642360568,
+ "epoch": 7.214196762141968,
+ "grad_norm": 0.4790540933609009,
+ "learning_rate": 4.029105644929618e-05,
+ "loss": 0.07323225498199464,
+ "mean_token_accuracy": 0.9749647602438927,
+ "num_tokens": 6774391.0,
+ "step": 2900
+ },
+ {
+ "entropy": 0.13495642982423306,
+ "epoch": 7.338729763387297,
+ "grad_norm": 0.41177162528038025,
+ "learning_rate": 3.7035077771478046e-05,
+ "loss": 0.0723848009109497,
+ "mean_token_accuracy": 0.9750138682126999,
+ "num_tokens": 6892967.0,
+ "step": 2950
+ },
+ {
+ "entropy": 0.14119064182043076,
+ "epoch": 7.463262764632628,
+ "grad_norm": 0.3276011049747467,
+ "learning_rate": 3.3882866419481806e-05,
+ "loss": 0.07503739356994629,
+ "mean_token_accuracy": 0.973833509683609,
+ "num_tokens": 7006692.0,
+ "step": 3000
+ },
+ {
+ "entropy": 0.13939726265147329,
+ "epoch": 7.587795765877957,
+ "grad_norm": 0.29367685317993164,
+ "learning_rate": 3.084036325904632e-05,
+ "loss": 0.07321533203125,
+ "mean_token_accuracy": 0.9747413221001625,
+ "num_tokens": 7124768.0,
+ "step": 3050
+ },
+ {
+ "entropy": 0.1330118723027408,
+ "epoch": 7.712328767123288,
+ "grad_norm": 0.26096275448799133,
+ "learning_rate": 2.7913302392605573e-05,
+ "loss": 0.0725630760192871,
+ "mean_token_accuracy": 0.9755767813324928,
+ "num_tokens": 7242764.0,
+ "step": 3100
+ },
+ {
+ "entropy": 0.12999726412817836,
+ "epoch": 7.8368617683686175,
+ "grad_norm": 0.4909002482891083,
+ "learning_rate": 2.5107200352420576e-05,
+ "loss": 0.06970284938812256,
+ "mean_token_accuracy": 0.9758264967799186,
+ "num_tokens": 7366604.0,
+ "step": 3150
+ },
+ {
+ "entropy": 0.13837616711854936,
+ "epoch": 7.961394769613948,
+ "grad_norm": 0.37932804226875305,
+ "learning_rate": 2.2427345703758274e-05,
+ "loss": 0.07299811363220216,
+ "mean_token_accuracy": 0.9738594210147857,
+ "num_tokens": 7481687.0,
+ "step": 3200
+ },
+ {
+ "epoch": 8.0,
+ "eval_entropy": 0.25052128273040747,
+ "eval_loss": 0.8225418925285339,
+ "eval_mean_token_accuracy": 0.8537235357040582,
+ "eval_num_tokens": 7520232.0,
+ "eval_runtime": 79.595,
+ "eval_samples_per_second": 17.275,
+ "eval_steps_per_second": 2.161,
+ "step": 3216
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.103242744371712e+17,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 128,
+ "lora_bias": false,
+ "lora_dropout": 0.05833860659003597,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..6d9db74648e03892f94c3a6c8e5f5ded64ec5017
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-3618/trainer_state.json
@@ -0,0 +1,853 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 9.0,
+ "eval_steps": 500,
+ "global_step": 3618,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.5681732833385467,
+ "epoch": 0.12453300124533001,
+ "grad_norm": 1.2423518896102905,
+ "learning_rate": 2.245073006787377e-05,
+ "loss": 1.3567063903808594,
+ "mean_token_accuracy": 0.7048975314199925,
+ "num_tokens": 114583.0,
+ "step": 50
+ },
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+ "entropy": 0.7356800127029419,
+ "epoch": 0.24906600249066002,
+ "grad_norm": 1.0828187465667725,
+ "learning_rate": 4.535963830039802e-05,
+ "loss": 0.65197021484375,
+ "mean_token_accuracy": 0.8213974100351333,
+ "num_tokens": 234541.0,
+ "step": 100
+ },
+ {
+ "entropy": 0.6838073092699051,
+ "epoch": 0.37359900373599003,
+ "grad_norm": 0.9256018996238708,
+ "learning_rate": 6.826854653292228e-05,
+ "loss": 0.6043741607666016,
+ "mean_token_accuracy": 0.8296174100041389,
+ "num_tokens": 351327.0,
+ "step": 150
+ },
+ {
+ "entropy": 0.6625622838735581,
+ "epoch": 0.49813200498132004,
+ "grad_norm": 0.8982412815093994,
+ "learning_rate": 9.117745476544654e-05,
+ "loss": 0.5804051971435547,
+ "mean_token_accuracy": 0.8364648693799972,
+ "num_tokens": 472595.0,
+ "step": 200
+ },
+ {
+ "entropy": 0.6394155050814152,
+ "epoch": 0.6226650062266501,
+ "grad_norm": 0.6671016812324524,
+ "learning_rate": 0.0001140863629979708,
+ "loss": 0.5582684326171875,
+ "mean_token_accuracy": 0.8420979034900665,
+ "num_tokens": 590160.0,
+ "step": 250
+ },
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+ "num_tokens": 8419672.0,
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+ },
+ {
+ "epoch": 9.0,
+ "eval_entropy": 0.2314538847395154,
+ "eval_loss": 0.9136112332344055,
+ "eval_mean_token_accuracy": 0.8535278571206469,
+ "eval_num_tokens": 8460261.0,
+ "eval_runtime": 79.6191,
+ "eval_samples_per_second": 17.27,
+ "eval_steps_per_second": 2.16,
+ "step": 3618
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.4901950953099264e+17,
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+ "trial_name": null,
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+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 128,
+ "lora_bias": false,
+ "lora_dropout": 0.05833860659003597,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..b239204fcd5744d9d77852fddfb15d06f5bb718a
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-402/trainer_state.json
@@ -0,0 +1,125 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 1.0,
+ "eval_steps": 500,
+ "global_step": 402,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.5681732833385467,
+ "epoch": 0.12453300124533001,
+ "grad_norm": 1.2423518896102905,
+ "learning_rate": 2.245073006787377e-05,
+ "loss": 1.3567063903808594,
+ "mean_token_accuracy": 0.7048975314199925,
+ "num_tokens": 114583.0,
+ "step": 50
+ },
+ {
+ "entropy": 0.7356800127029419,
+ "epoch": 0.24906600249066002,
+ "grad_norm": 1.0828187465667725,
+ "learning_rate": 4.535963830039802e-05,
+ "loss": 0.65197021484375,
+ "mean_token_accuracy": 0.8213974100351333,
+ "num_tokens": 234541.0,
+ "step": 100
+ },
+ {
+ "entropy": 0.6838073092699051,
+ "epoch": 0.37359900373599003,
+ "grad_norm": 0.9256018996238708,
+ "learning_rate": 6.826854653292228e-05,
+ "loss": 0.6043741607666016,
+ "mean_token_accuracy": 0.8296174100041389,
+ "num_tokens": 351327.0,
+ "step": 150
+ },
+ {
+ "entropy": 0.6625622838735581,
+ "epoch": 0.49813200498132004,
+ "grad_norm": 0.8982412815093994,
+ "learning_rate": 9.117745476544654e-05,
+ "loss": 0.5804051971435547,
+ "mean_token_accuracy": 0.8364648693799972,
+ "num_tokens": 472595.0,
+ "step": 200
+ },
+ {
+ "entropy": 0.6394155050814152,
+ "epoch": 0.6226650062266501,
+ "grad_norm": 0.6671016812324524,
+ "learning_rate": 0.0001140863629979708,
+ "loss": 0.5582684326171875,
+ "mean_token_accuracy": 0.8420979034900665,
+ "num_tokens": 590160.0,
+ "step": 250
+ },
+ {
+ "entropy": 0.6368238939344883,
+ "epoch": 0.7471980074719801,
+ "grad_norm": 0.6754769086837769,
+ "learning_rate": 0.00013699527123049504,
+ "loss": 0.5563363265991211,
+ "mean_token_accuracy": 0.8401645755767823,
+ "num_tokens": 706659.0,
+ "step": 300
+ },
+ {
+ "entropy": 0.6217501659691334,
+ "epoch": 0.8717310087173101,
+ "grad_norm": 0.714057445526123,
+ "learning_rate": 0.0001599041794630193,
+ "loss": 0.5475285339355469,
+ "mean_token_accuracy": 0.8440281334519386,
+ "num_tokens": 821763.0,
+ "step": 350
+ },
+ {
+ "entropy": 0.6209351749718189,
+ "epoch": 0.9962640099626401,
+ "grad_norm": 0.7717300057411194,
+ "learning_rate": 0.00018281308769554355,
+ "loss": 0.5463589477539063,
+ "mean_token_accuracy": 0.8433159792423248,
+ "num_tokens": 936946.0,
+ "step": 400
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.565151353561601,
+ "eval_loss": 0.5447193384170532,
+ "eval_mean_token_accuracy": 0.8464361508918363,
+ "eval_num_tokens": 940029.0,
+ "eval_runtime": 80.9151,
+ "eval_samples_per_second": 16.993,
+ "eval_steps_per_second": 2.126,
+ "step": 402
+ }
+ ],
+ "logging_steps": 50,
+ "max_steps": 4020,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.894650812304794e+16,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 128,
+ "lora_bias": false,
+ "lora_dropout": 0.05833860659003597,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|endoftext|>",
+ "errors": "replace",
+ "image_token": "<|image_pad|>",
+ "is_local": false,
+ "model_max_length": 262144,
+ "model_specific_special_tokens": {
+ "audio_bos_token": "<|audio_start|>",
+ "audio_eos_token": "<|audio_end|>",
+ "audio_token": "<|audio_pad|>",
+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad195cfc2573b33f98980cfaf3d2451c362d9f41
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-4020/trainer_state.json
@@ -0,0 +1,944 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 10.0,
+ "eval_steps": 500,
+ "global_step": 4020,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.5681732833385467,
+ "epoch": 0.12453300124533001,
+ "grad_norm": 1.2423518896102905,
+ "learning_rate": 2.245073006787377e-05,
+ "loss": 1.3567063903808594,
+ "mean_token_accuracy": 0.7048975314199925,
+ "num_tokens": 114583.0,
+ "step": 50
+ },
+ {
+ "entropy": 0.7356800127029419,
+ "epoch": 0.24906600249066002,
+ "grad_norm": 1.0828187465667725,
+ "learning_rate": 4.535963830039802e-05,
+ "loss": 0.65197021484375,
+ "mean_token_accuracy": 0.8213974100351333,
+ "num_tokens": 234541.0,
+ "step": 100
+ },
+ {
+ "entropy": 0.6838073092699051,
+ "epoch": 0.37359900373599003,
+ "grad_norm": 0.9256018996238708,
+ "learning_rate": 6.826854653292228e-05,
+ "loss": 0.6043741607666016,
+ "mean_token_accuracy": 0.8296174100041389,
+ "num_tokens": 351327.0,
+ "step": 150
+ },
+ {
+ "entropy": 0.6625622838735581,
+ "epoch": 0.49813200498132004,
+ "grad_norm": 0.8982412815093994,
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+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
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+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/README.md b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..41e6c854e77830e9ea767c8c35f8c82a65c1ba35
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen3.5-4B-Base
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3.5-4B-Base
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/adapter_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd48592ebfde6ffa9e1fa29412808c550e6c8898
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/adapter_config.json
@@ -0,0 +1,46 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 128,
+ "lora_bias": false,
+ "lora_dropout": 0.05833860659003597,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.18.1",
+ "qalora_group_size": 16,
+ "r": 64,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "up_proj",
+ "down_proj",
+ "k_proj",
+ "q_proj",
+ "o_proj",
+ "v_proj",
+ "gate_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/chat_template.jinja b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..a585dec894e63da457d9440ec6aa7caa16d20860
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/chat_template.jinja
@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+ {%- if content is string %}
+ {{- content }}
+ {%- elif content is iterable and content is not mapping %}
+ {%- for item in content %}
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain images.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set image_count.value = image_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+ {%- elif 'video' in item or item.type == 'video' %}
+ {%- if is_system_content %}
+ {{- raise_exception('System message cannot contain videos.') }}
+ {%- endif %}
+ {%- if do_vision_count %}
+ {%- set video_count.value = video_count.value + 1 %}
+ {%- endif %}
+ {%- if add_vision_id %}
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
+ {%- endif %}
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+ {%- elif 'text' in item %}
+ {{- item.text }}
+ {%- else %}
+ {{- raise_exception('Unexpected item type in content.') }}
+ {%- endif %}
+ {%- endfor %}
+ {%- elif content is none or content is undefined %}
+ {{- '' }}
+ {%- else %}
+ {{- raise_exception('Unexpected content type.') }}
+ {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+ {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+ {{- '<|im_start|>system\n' }}
+ {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n" }}
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {%- if content %}
+ {{- '\n\n' + content }}
+ {%- endif %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+{%- else %}
+ {%- if messages[0].role == 'system' %}
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+ {%- set index = (messages|length - 1) - loop.index0 %}
+ {%- if ns.multi_step_tool and message.role == "user" %}
+ {%- set content = render_content(message.content, false)|trim %}
+ {%- if not(content.startswith('') and content.endswith('')) %}
+ {%- set ns.multi_step_tool = false %}
+ {%- set ns.last_query_index = index %}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+ {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+ {%- set content = render_content(message.content, true)|trim %}
+ {%- if message.role == "system" %}
+ {%- if not loop.first %}
+ {{- raise_exception('System message must be at the beginning.') }}
+ {%- endif %}
+ {%- elif message.role == "user" %}
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {%- set reasoning_content = '' %}
+ {%- if message.reasoning_content is string %}
+ {%- set reasoning_content = message.reasoning_content %}
+ {%- else %}
+ {%- if '' in content %}
+ {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %}
+ {%- set content = content.split('')[-1].lstrip('\n') %}
+ {%- endif %}
+ {%- endif %}
+ {%- set reasoning_content = reasoning_content|trim %}
+ {%- if loop.index0 > ns.last_query_index %}
+ {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }}
+ {%- else %}
+ {{- '<|im_start|>' + message.role + '\n' + content }}
+ {%- endif %}
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {%- if loop.first %}
+ {%- if content|trim %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- '\n\n\n' }}
+ {%- endif %}
+ {%- if tool_call.arguments is defined %}
+ {%- for args_name, args_value in tool_call.arguments|items %}
+ {{- '\n' }}
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+ {{- args_value }}
+ {{- '\n\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '\n' }}
+ {%- endfor %}
+ {%- endif %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- content }}
+ {{- '\n' }}
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
+ {{- '<|im_end|>\n' }}
+ {%- elif loop.last %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- else %}
+ {{- raise_exception('Unexpected message role.') }}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+ {%- if enable_thinking is defined and enable_thinking is false %}
+ {{- '\n\n\n\n' }}
+ {%- else %}
+ {{- '\n' }}
+ {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/tokenizer_config.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4a37b2a6fd3ab3317cd7bac72855be1a843b2bb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/tokenizer_config.json
@@ -0,0 +1,31 @@
+{
+ "add_prefix_space": false,
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+ "audio_token": "<|audio_pad|>",
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+ "image_token": "<|image_pad|>",
+ "video_token": "<|video_pad|>",
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+ "vision_eos_token": "<|vision_end|>"
+ },
+ "pad_token": "<|endoftext|>",
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+ "split_special_tokens": false,
+ "tokenizer_class": "TokenizersBackend",
+ "unk_token": null,
+ "video_token": "<|video_pad|>",
+ "vision_bos_token": "<|vision_start|>",
+ "vision_eos_token": "<|vision_end|>"
+}
diff --git a/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/trainer_state.json b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..b086c995296bc9a7093e33034e35e966e90a37fb
--- /dev/null
+++ b/random_original_Swedish/Qwen3.5-4B-Base_random_splits_original_features_train_random_splits_original_features_test2/checkpoint-804/trainer_state.json
@@ -0,0 +1,216 @@
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