Upload folder using huggingface_hub

README.md

@@ -0,0 +1,210 @@
+---
+base_model: unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **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]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[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

adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen2ForCausalLM",
+    "parent_library": "transformers.models.qwen2.modeling_qwen2",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit",
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "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": [
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "down_proj",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf35511c1e0209cd20a2362cee37c6a7450f3bdb95f90e30341065e16f76f189
+size 14645

scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7a646a858b71ab76099f4dca96d8db39ffde2f88258f5a4b082ff62947bcc11
+size 1383

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f847bf189265d8eee7da89b2c635bd5ad82bf85f644dadbc5646ac3ed438aa14
+size 1465

tokenizer_config.json

@@ -0,0 +1,201 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 32768,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<|PAD_TOKEN|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  }
+}

trainer_state.json

@@ -0,0 +1,244 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 150,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.3333333333333333,
+      "grad_norm": 2.234692335128784,
+      "learning_rate": 0.00016,
+      "loss": 3.564731216430664,
+      "step": 5
+    },
+    {
+      "epoch": 0.6666666666666666,
+      "grad_norm": 1.4577325582504272,
+      "learning_rate": 0.00019448275862068965,
+      "loss": 1.7822282791137696,
+      "step": 10
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.2280287742614746,
+      "learning_rate": 0.00018758620689655173,
+      "loss": 0.5553516387939453,
+      "step": 15
+    },
+    {
+      "epoch": 1.3333333333333333,
+      "grad_norm": 0.39766302704811096,
+      "learning_rate": 0.00018068965517241382,
+      "loss": 0.1261259436607361,
+      "step": 20
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 0.36177533864974976,
+      "learning_rate": 0.00017379310344827587,
+      "loss": 0.0433908075094223,
+      "step": 25
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.1993640512228012,
+      "learning_rate": 0.00016689655172413793,
+      "loss": 0.014871008694171906,
+      "step": 30
+    },
+    {
+      "epoch": 2.3333333333333335,
+      "grad_norm": 0.1327141374349594,
+      "learning_rate": 0.00016,
+      "loss": 0.008725088089704514,
+      "step": 35
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "grad_norm": 0.05042891949415207,
+      "learning_rate": 0.00015310344827586207,
+      "loss": 0.007357730716466904,
+      "step": 40
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.09038956463336945,
+      "learning_rate": 0.00014620689655172415,
+      "loss": 0.006654418259859085,
+      "step": 45
+    },
+    {
+      "epoch": 3.3333333333333335,
+      "grad_norm": 0.07532325387001038,
+      "learning_rate": 0.0001393103448275862,
+      "loss": 0.00647946298122406,
+      "step": 50
+    },
+    {
+      "epoch": 3.6666666666666665,
+      "grad_norm": 0.08514901250600815,
+      "learning_rate": 0.0001324137931034483,
+      "loss": 0.006680632382631302,
+      "step": 55
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 0.0902906134724617,
+      "learning_rate": 0.00012551724137931035,
+      "loss": 0.0068584330379962925,
+      "step": 60
+    },
+    {
+      "epoch": 4.333333333333333,
+      "grad_norm": 0.06367665529251099,
+      "learning_rate": 0.0001186206896551724,
+      "loss": 0.006411250680685043,
+      "step": 65
+    },
+    {
+      "epoch": 4.666666666666667,
+      "grad_norm": 0.0606352835893631,
+      "learning_rate": 0.00011172413793103449,
+      "loss": 0.006474435329437256,
+      "step": 70
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 0.058691803365945816,
+      "learning_rate": 0.00010482758620689656,
+      "loss": 0.006187014281749725,
+      "step": 75
+    },
+    {
+      "epoch": 5.333333333333333,
+      "grad_norm": 0.06785333156585693,
+      "learning_rate": 9.793103448275862e-05,
+      "loss": 0.007109149545431137,
+      "step": 80
+    },
+    {
+      "epoch": 5.666666666666667,
+      "grad_norm": 0.041070930659770966,
+      "learning_rate": 9.10344827586207e-05,
+      "loss": 0.006115003302693367,
+      "step": 85
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 0.046001601964235306,
+      "learning_rate": 8.413793103448277e-05,
+      "loss": 0.006253865361213684,
+      "step": 90
+    },
+    {
+      "epoch": 6.333333333333333,
+      "grad_norm": 0.04734743386507034,
+      "learning_rate": 7.724137931034483e-05,
+      "loss": 0.0060293667018413545,
+      "step": 95
+    },
+    {
+      "epoch": 6.666666666666667,
+      "grad_norm": 0.04042210429906845,
+      "learning_rate": 7.03448275862069e-05,
+      "loss": 0.0062621280550956724,
+      "step": 100
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 0.04954440891742706,
+      "learning_rate": 6.344827586206897e-05,
+      "loss": 0.00619029626250267,
+      "step": 105
+    },
+    {
+      "epoch": 7.333333333333333,
+      "grad_norm": 0.058896154165267944,
+      "learning_rate": 5.6551724137931037e-05,
+      "loss": 0.005703266337513923,
+      "step": 110
+    },
+    {
+      "epoch": 7.666666666666667,
+      "grad_norm": 0.017007876187562943,
+      "learning_rate": 4.9655172413793107e-05,
+      "loss": 0.005966300517320633,
+      "step": 115
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 0.017122946679592133,
+      "learning_rate": 4.275862068965518e-05,
+      "loss": 0.005790818855166436,
+      "step": 120
+    },
+    {
+      "epoch": 8.333333333333334,
+      "grad_norm": 0.066221684217453,
+      "learning_rate": 3.586206896551724e-05,
+      "loss": 0.005818406492471695,
+      "step": 125
+    },
+    {
+      "epoch": 8.666666666666666,
+      "grad_norm": 0.06780843436717987,
+      "learning_rate": 2.8965517241379313e-05,
+      "loss": 0.006129764020442963,
+      "step": 130
+    },
+    {
+      "epoch": 9.0,
+      "grad_norm": 0.038115620613098145,
+      "learning_rate": 2.206896551724138e-05,
+      "loss": 0.005897220596671105,
+      "step": 135
+    },
+    {
+      "epoch": 9.333333333333334,
+      "grad_norm": 0.07508810609579086,
+      "learning_rate": 1.5172413793103448e-05,
+      "loss": 0.005739358067512512,
+      "step": 140
+    },
+    {
+      "epoch": 9.666666666666666,
+      "grad_norm": 0.06934335082769394,
+      "learning_rate": 8.275862068965518e-06,
+      "loss": 0.006111703440546989,
+      "step": 145
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 0.06771335750818253,
+      "learning_rate": 1.3793103448275862e-06,
+      "loss": 0.0057536657899618145,
+      "step": 150
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 150,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 20,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6536089957171200.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b393765b2d7ff3b22d6ab1154d3435dbed5e0620ddfec3dd18bf03cd37e53f86
+size 5713