HaolinRPI commited on
Commit
21cb37e
·
verified ·
1 Parent(s): f815797

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +8 -0
  2. qwen2.5-1.5b-instruct/README.md +69 -0
  3. qwen2.5-1.5b-instruct/all_results.json +12 -0
  4. qwen2.5-1.5b-instruct/chat_template.jinja +54 -0
  5. qwen2.5-1.5b-instruct/checkpoint-142/chat_template.jinja +54 -0
  6. qwen2.5-1.5b-instruct/checkpoint-142/config.json +61 -0
  7. qwen2.5-1.5b-instruct/checkpoint-142/generation_config.json +13 -0
  8. qwen2.5-1.5b-instruct/checkpoint-142/model.safetensors +3 -0
  9. qwen2.5-1.5b-instruct/checkpoint-142/optimizer.pt +3 -0
  10. qwen2.5-1.5b-instruct/checkpoint-142/rng_state_0.pth +3 -0
  11. qwen2.5-1.5b-instruct/checkpoint-142/rng_state_1.pth +3 -0
  12. qwen2.5-1.5b-instruct/checkpoint-142/scheduler.pt +3 -0
  13. qwen2.5-1.5b-instruct/checkpoint-142/tokenizer.json +3 -0
  14. qwen2.5-1.5b-instruct/checkpoint-142/tokenizer_config.json +30 -0
  15. qwen2.5-1.5b-instruct/checkpoint-142/trainer_state.json +1044 -0
  16. qwen2.5-1.5b-instruct/checkpoint-142/training_args.bin +3 -0
  17. qwen2.5-1.5b-instruct/checkpoint-213/chat_template.jinja +54 -0
  18. qwen2.5-1.5b-instruct/checkpoint-213/config.json +61 -0
  19. qwen2.5-1.5b-instruct/checkpoint-213/generation_config.json +13 -0
  20. qwen2.5-1.5b-instruct/checkpoint-213/model.safetensors +3 -0
  21. qwen2.5-1.5b-instruct/checkpoint-213/optimizer.pt +3 -0
  22. qwen2.5-1.5b-instruct/checkpoint-213/rng_state_0.pth +3 -0
  23. qwen2.5-1.5b-instruct/checkpoint-213/rng_state_1.pth +3 -0
  24. qwen2.5-1.5b-instruct/checkpoint-213/scheduler.pt +3 -0
  25. qwen2.5-1.5b-instruct/checkpoint-213/tokenizer.json +3 -0
  26. qwen2.5-1.5b-instruct/checkpoint-213/tokenizer_config.json +30 -0
  27. qwen2.5-1.5b-instruct/checkpoint-213/trainer_state.json +1557 -0
  28. qwen2.5-1.5b-instruct/checkpoint-213/training_args.bin +3 -0
  29. qwen2.5-1.5b-instruct/checkpoint-71/chat_template.jinja +54 -0
  30. qwen2.5-1.5b-instruct/checkpoint-71/config.json +61 -0
  31. qwen2.5-1.5b-instruct/checkpoint-71/generation_config.json +13 -0
  32. qwen2.5-1.5b-instruct/checkpoint-71/model.safetensors +3 -0
  33. qwen2.5-1.5b-instruct/checkpoint-71/optimizer.pt +3 -0
  34. qwen2.5-1.5b-instruct/checkpoint-71/rng_state_0.pth +3 -0
  35. qwen2.5-1.5b-instruct/checkpoint-71/rng_state_1.pth +3 -0
  36. qwen2.5-1.5b-instruct/checkpoint-71/scheduler.pt +3 -0
  37. qwen2.5-1.5b-instruct/checkpoint-71/tokenizer.json +3 -0
  38. qwen2.5-1.5b-instruct/checkpoint-71/tokenizer_config.json +30 -0
  39. qwen2.5-1.5b-instruct/checkpoint-71/trainer_state.json +539 -0
  40. qwen2.5-1.5b-instruct/checkpoint-71/training_args.bin +3 -0
  41. qwen2.5-1.5b-instruct/config.json +61 -0
  42. qwen2.5-1.5b-instruct/eval_results.json +7 -0
  43. qwen2.5-1.5b-instruct/generation_config.json +13 -0
  44. qwen2.5-1.5b-instruct/model.safetensors +3 -0
  45. qwen2.5-1.5b-instruct/tokenizer.json +3 -0
  46. qwen2.5-1.5b-instruct/tokenizer_config.json +30 -0
  47. qwen2.5-1.5b-instruct/train_results.json +8 -0
  48. qwen2.5-1.5b-instruct/trainer_log.jsonl +219 -0
  49. qwen2.5-1.5b-instruct/trainer_state.json +1566 -0
  50. qwen2.5-1.5b-instruct/training_args.bin +3 -0
.gitattributes CHANGED
@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ qwen2.5-1.5b-instruct/checkpoint-142/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ qwen2.5-1.5b-instruct/checkpoint-213/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ qwen2.5-1.5b-instruct/checkpoint-71/tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
+ qwen2.5-1.5b-instruct/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
+ qwen2.5-3b-instruct/checkpoint-142/tokenizer.json filter=lfs diff=lfs merge=lfs -text
41
+ qwen2.5-3b-instruct/checkpoint-213/tokenizer.json filter=lfs diff=lfs merge=lfs -text
42
+ qwen2.5-3b-instruct/checkpoint-71/tokenizer.json filter=lfs diff=lfs merge=lfs -text
43
+ qwen2.5-3b-instruct/tokenizer.json filter=lfs diff=lfs merge=lfs -text
qwen2.5-1.5b-instruct/README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: Qwen/Qwen2.5-1.5B-Instruct
5
+ tags:
6
+ - llama-factory
7
+ - full
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: qwen2.5-1.5b-instruct_max_grad_norm_5.0
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # qwen2.5-1.5b-instruct_max_grad_norm_5.0
18
+
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the healthcare_chatdoctor_train_20k_trace_generation_valid dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 1.1803
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 1e-05
41
+ - train_batch_size: 1
42
+ - eval_batch_size: 1
43
+ - seed: 42
44
+ - distributed_type: multi-GPU
45
+ - num_devices: 2
46
+ - gradient_accumulation_steps: 128
47
+ - total_train_batch_size: 256
48
+ - total_eval_batch_size: 2
49
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
+ - lr_scheduler_type: cosine
51
+ - lr_scheduler_warmup_steps: 0.1
52
+ - num_epochs: 3
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss |
57
+ |:-------------:|:------:|:----:|:---------------:|
58
+ | 1.2639 | 0.7111 | 50 | 1.2486 |
59
+ | 1.1955 | 1.4124 | 100 | 1.1989 |
60
+ | 1.1315 | 2.1138 | 150 | 1.1811 |
61
+ | 1.1373 | 2.8249 | 200 | 1.1768 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - Transformers 5.2.0
67
+ - Pytorch 2.11.0+cu128
68
+ - Datasets 4.0.0
69
+ - Tokenizers 0.22.2
qwen2.5-1.5b-instruct/all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 1.1803252696990967,
4
+ "eval_runtime": 126.8683,
5
+ "eval_samples_per_second": 1.576,
6
+ "eval_steps_per_second": 0.788,
7
+ "total_flos": 4.5153968281196954e+17,
8
+ "train_loss": 0.0,
9
+ "train_runtime": 4.5863,
10
+ "train_samples_per_second": 11774.243,
11
+ "train_steps_per_second": 46.443
12
+ }
qwen2.5-1.5b-instruct/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\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>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\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" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
qwen2.5-1.5b-instruct/checkpoint-142/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\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>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\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" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
qwen2.5-1.5b-instruct/checkpoint-142/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": null,
7
+ "dtype": "float32",
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 21,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "pad_token_id": 151643,
50
+ "rms_norm_eps": 1e-06,
51
+ "rope_parameters": {
52
+ "rope_theta": 1000000.0,
53
+ "rope_type": "default"
54
+ },
55
+ "sliding_window": null,
56
+ "tie_word_embeddings": true,
57
+ "transformers_version": "5.2.0",
58
+ "use_cache": false,
59
+ "use_sliding_window": false,
60
+ "vocab_size": 151936
61
+ }
qwen2.5-1.5b-instruct/checkpoint-142/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "repetition_penalty": 1.1,
9
+ "temperature": 0.7,
10
+ "top_k": 20,
11
+ "top_p": 0.8,
12
+ "transformers_version": "5.2.0"
13
+ }
qwen2.5-1.5b-instruct/checkpoint-142/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8f0868330bdeff640a003ac39e4267049a3966f47ebdc5491d4b2fc5c0ee90f
3
+ size 6174895536
qwen2.5-1.5b-instruct/checkpoint-142/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c2809c124c8a741d0d5b59283ac6a912c7a9fad540e6b5d2a6f5bd65df63dc6
3
+ size 12350013801
qwen2.5-1.5b-instruct/checkpoint-142/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95e5fc2074c0df31522a514f862c86cb00d71c946a7f15cc9ec0e53a69fb28a7
3
+ size 14917
qwen2.5-1.5b-instruct/checkpoint-142/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e7153eae67b6c9232a41bc996a2bf5b83229b8c7230d61911ac0fd40e64154e
3
+ size 14917
qwen2.5-1.5b-instruct/checkpoint-142/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:922deb71175797a96c4bddc5e1cef1c097df38c0dfa52334e97c89e0f573f2bb
3
+ size 1465
qwen2.5-1.5b-instruct/checkpoint-142/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
3
+ size 11421892
qwen2.5-1.5b-instruct/checkpoint-142/tokenizer_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": null,
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "extra_special_tokens": [
9
+ "<|im_start|>",
10
+ "<|im_end|>",
11
+ "<|object_ref_start|>",
12
+ "<|object_ref_end|>",
13
+ "<|box_start|>",
14
+ "<|box_end|>",
15
+ "<|quad_start|>",
16
+ "<|quad_end|>",
17
+ "<|vision_start|>",
18
+ "<|vision_end|>",
19
+ "<|vision_pad|>",
20
+ "<|image_pad|>",
21
+ "<|video_pad|>"
22
+ ],
23
+ "is_local": false,
24
+ "model_max_length": 131072,
25
+ "pad_token": "<|endoftext|>",
26
+ "padding_side": "right",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "Qwen2Tokenizer",
29
+ "unk_token": null
30
+ }
qwen2.5-1.5b-instruct/checkpoint-142/trainer_state.json ADDED
@@ -0,0 +1,1044 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0,
6
+ "eval_steps": 50,
7
+ "global_step": 142,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.014222222222222223,
14
+ "grad_norm": 0.036850932985544205,
15
+ "learning_rate": 0.0,
16
+ "loss": 1.6560986042022705,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.028444444444444446,
21
+ "grad_norm": 0.037402428686618805,
22
+ "learning_rate": 4.5454545454545457e-07,
23
+ "loss": 1.681471347808838,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.042666666666666665,
28
+ "grad_norm": 0.03194897621870041,
29
+ "learning_rate": 9.090909090909091e-07,
30
+ "loss": 1.6596678495407104,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.05688888888888889,
35
+ "grad_norm": 0.02700614556670189,
36
+ "learning_rate": 1.3636363636363636e-06,
37
+ "loss": 1.634795904159546,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.07111111111111111,
42
+ "grad_norm": 0.021732285618782043,
43
+ "learning_rate": 1.8181818181818183e-06,
44
+ "loss": 1.606718897819519,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.08533333333333333,
49
+ "grad_norm": 0.018985262140631676,
50
+ "learning_rate": 2.2727272727272728e-06,
51
+ "loss": 1.5807676315307617,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.09955555555555555,
56
+ "grad_norm": 0.018287895247340202,
57
+ "learning_rate": 2.7272727272727272e-06,
58
+ "loss": 1.5490249395370483,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.11377777777777778,
63
+ "grad_norm": 0.017051130533218384,
64
+ "learning_rate": 3.181818181818182e-06,
65
+ "loss": 1.5317950248718262,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.128,
70
+ "grad_norm": 0.015596743673086166,
71
+ "learning_rate": 3.6363636363636366e-06,
72
+ "loss": 1.5076513290405273,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.14222222222222222,
77
+ "grad_norm": 0.014579818584024906,
78
+ "learning_rate": 4.0909090909090915e-06,
79
+ "loss": 1.4786231517791748,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.15644444444444444,
84
+ "grad_norm": 0.012900307774543762,
85
+ "learning_rate": 4.5454545454545455e-06,
86
+ "loss": 1.469682216644287,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.17066666666666666,
91
+ "grad_norm": 0.011142965406179428,
92
+ "learning_rate": 5e-06,
93
+ "loss": 1.4563651084899902,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.18488888888888888,
98
+ "grad_norm": 0.011200510896742344,
99
+ "learning_rate": 5.4545454545454545e-06,
100
+ "loss": 1.4510159492492676,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.1991111111111111,
105
+ "grad_norm": 0.01117027923464775,
106
+ "learning_rate": 5.90909090909091e-06,
107
+ "loss": 1.440371036529541,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.21333333333333335,
112
+ "grad_norm": 0.010404860600829124,
113
+ "learning_rate": 6.363636363636364e-06,
114
+ "loss": 1.4149150848388672,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.22755555555555557,
119
+ "grad_norm": 0.009069642052054405,
120
+ "learning_rate": 6.818181818181818e-06,
121
+ "loss": 1.3951767683029175,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.24177777777777779,
126
+ "grad_norm": 0.008563642390072346,
127
+ "learning_rate": 7.272727272727273e-06,
128
+ "loss": 1.3866009712219238,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.256,
133
+ "grad_norm": 0.008158586919307709,
134
+ "learning_rate": 7.727272727272727e-06,
135
+ "loss": 1.3851287364959717,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.2702222222222222,
140
+ "grad_norm": 0.008019132539629936,
141
+ "learning_rate": 8.181818181818183e-06,
142
+ "loss": 1.3660919666290283,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.28444444444444444,
147
+ "grad_norm": 0.007505647838115692,
148
+ "learning_rate": 8.636363636363637e-06,
149
+ "loss": 1.3991025686264038,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.2986666666666667,
154
+ "grad_norm": 0.0068238647654652596,
155
+ "learning_rate": 9.090909090909091e-06,
156
+ "loss": 1.3563741445541382,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.3128888888888889,
161
+ "grad_norm": 0.00681255292147398,
162
+ "learning_rate": 9.545454545454547e-06,
163
+ "loss": 1.3432800769805908,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.32711111111111113,
168
+ "grad_norm": 0.0064102653414011,
169
+ "learning_rate": 1e-05,
170
+ "loss": 1.3540418148040771,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.3413333333333333,
175
+ "grad_norm": 0.006286031566560268,
176
+ "learning_rate": 9.999323662872998e-06,
177
+ "loss": 1.3571672439575195,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.35555555555555557,
182
+ "grad_norm": 0.006193141452968121,
183
+ "learning_rate": 9.99729483446475e-06,
184
+ "loss": 1.3181281089782715,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.36977777777777776,
189
+ "grad_norm": 0.005919129587709904,
190
+ "learning_rate": 9.993914063644053e-06,
191
+ "loss": 1.3311502933502197,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.384,
196
+ "grad_norm": 0.005563116166740656,
197
+ "learning_rate": 9.989182265027232e-06,
198
+ "loss": 1.3282787799835205,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.3982222222222222,
203
+ "grad_norm": 0.005611867178231478,
204
+ "learning_rate": 9.98310071873072e-06,
205
+ "loss": 1.325502872467041,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.41244444444444445,
210
+ "grad_norm": 0.0053426348604261875,
211
+ "learning_rate": 9.975671070024741e-06,
212
+ "loss": 1.3453574180603027,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.4266666666666667,
217
+ "grad_norm": 0.0058601596392691135,
218
+ "learning_rate": 9.966895328888195e-06,
219
+ "loss": 1.3257673978805542,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.4408888888888889,
224
+ "grad_norm": 0.005306159611791372,
225
+ "learning_rate": 9.956775869464901e-06,
226
+ "loss": 1.317690372467041,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.45511111111111113,
231
+ "grad_norm": 0.0048169931396842,
232
+ "learning_rate": 9.945315429421307e-06,
233
+ "loss": 1.3243460655212402,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.4693333333333333,
238
+ "grad_norm": 0.0048377541825175285,
239
+ "learning_rate": 9.932517109205849e-06,
240
+ "loss": 1.3194491863250732,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.48355555555555557,
245
+ "grad_norm": 0.004818843677639961,
246
+ "learning_rate": 9.918384371210178e-06,
247
+ "loss": 1.3047914505004883,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.49777777777777776,
252
+ "grad_norm": 0.005093662533909082,
253
+ "learning_rate": 9.902921038832456e-06,
254
+ "loss": 1.2955162525177002,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.512,
259
+ "grad_norm": 0.005024498328566551,
260
+ "learning_rate": 9.886131295443003e-06,
261
+ "loss": 1.3118610382080078,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.5262222222222223,
266
+ "grad_norm": 0.004711818415671587,
267
+ "learning_rate": 9.868019683252543e-06,
268
+ "loss": 1.302067518234253,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.5404444444444444,
273
+ "grad_norm": 0.0047568087466061115,
274
+ "learning_rate": 9.848591102083375e-06,
275
+ "loss": 1.2789689302444458,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.5546666666666666,
280
+ "grad_norm": 0.004525096621364355,
281
+ "learning_rate": 9.82785080804381e-06,
282
+ "loss": 1.2827372550964355,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.5688888888888889,
287
+ "grad_norm": 0.0044178408570587635,
288
+ "learning_rate": 9.805804412106197e-06,
289
+ "loss": 1.2863564491271973,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.5831111111111111,
294
+ "grad_norm": 0.00429871492087841,
295
+ "learning_rate": 9.782457878588977e-06,
296
+ "loss": 1.2768702507019043,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.5973333333333334,
301
+ "grad_norm": 0.004442654084414244,
302
+ "learning_rate": 9.75781752354311e-06,
303
+ "loss": 1.2826354503631592,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.6115555555555555,
308
+ "grad_norm": 0.004453128203749657,
309
+ "learning_rate": 9.731890013043367e-06,
310
+ "loss": 1.275444746017456,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.6257777777777778,
315
+ "grad_norm": 0.004429741762578487,
316
+ "learning_rate": 9.704682361384941e-06,
317
+ "loss": 1.2660303115844727,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.64,
322
+ "grad_norm": 0.004699238575994968,
323
+ "learning_rate": 9.676201929185809e-06,
324
+ "loss": 1.2627251148223877,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.6542222222222223,
329
+ "grad_norm": 0.004564967937767506,
330
+ "learning_rate": 9.646456421395447e-06,
331
+ "loss": 1.2888470888137817,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.6684444444444444,
336
+ "grad_norm": 0.004141585901379585,
337
+ "learning_rate": 9.615453885210368e-06,
338
+ "loss": 1.2826390266418457,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.6826666666666666,
343
+ "grad_norm": 0.004241476766765118,
344
+ "learning_rate": 9.583202707897075e-06,
345
+ "loss": 1.2571580410003662,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.6968888888888889,
350
+ "grad_norm": 0.004200824070721865,
351
+ "learning_rate": 9.549711614523007e-06,
352
+ "loss": 1.2616808414459229,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.7111111111111111,
357
+ "grad_norm": 0.004399280063807964,
358
+ "learning_rate": 9.514989665596114e-06,
359
+ "loss": 1.263854742050171,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.7111111111111111,
364
+ "eval_loss": 1.248613715171814,
365
+ "eval_runtime": 54.7705,
366
+ "eval_samples_per_second": 3.652,
367
+ "eval_steps_per_second": 1.826,
368
+ "step": 50
369
+ },
370
+ {
371
+ "epoch": 0.7253333333333334,
372
+ "grad_norm": 0.004282557871192694,
373
+ "learning_rate": 9.479046254613673e-06,
374
+ "loss": 1.279876947402954,
375
+ "step": 51
376
+ },
377
+ {
378
+ "epoch": 0.7395555555555555,
379
+ "grad_norm": 0.004135944880545139,
380
+ "learning_rate": 9.441891105521005e-06,
381
+ "loss": 1.2600014209747314,
382
+ "step": 52
383
+ },
384
+ {
385
+ "epoch": 0.7537777777777778,
386
+ "grad_norm": 0.0039484258741140366,
387
+ "learning_rate": 9.40353427008083e-06,
388
+ "loss": 1.2702335119247437,
389
+ "step": 53
390
+ },
391
+ {
392
+ "epoch": 0.768,
393
+ "grad_norm": 0.004160050302743912,
394
+ "learning_rate": 9.3639861251539e-06,
395
+ "loss": 1.2441630363464355,
396
+ "step": 54
397
+ },
398
+ {
399
+ "epoch": 0.7822222222222223,
400
+ "grad_norm": 0.004111913964152336,
401
+ "learning_rate": 9.323257369891702e-06,
402
+ "loss": 1.2441895008087158,
403
+ "step": 55
404
+ },
405
+ {
406
+ "epoch": 0.7964444444444444,
407
+ "grad_norm": 0.004063262604176998,
408
+ "learning_rate": 9.281359022841966e-06,
409
+ "loss": 1.255817174911499,
410
+ "step": 56
411
+ },
412
+ {
413
+ "epoch": 0.8106666666666666,
414
+ "grad_norm": 0.003984581213444471,
415
+ "learning_rate": 9.238302418967757e-06,
416
+ "loss": 1.2536640167236328,
417
+ "step": 57
418
+ },
419
+ {
420
+ "epoch": 0.8248888888888889,
421
+ "grad_norm": 0.003996702842414379,
422
+ "learning_rate": 9.194099206580981e-06,
423
+ "loss": 1.2499892711639404,
424
+ "step": 58
425
+ },
426
+ {
427
+ "epoch": 0.8391111111111111,
428
+ "grad_norm": 0.0044861058704555035,
429
+ "learning_rate": 9.14876134419111e-06,
430
+ "loss": 1.248606562614441,
431
+ "step": 59
432
+ },
433
+ {
434
+ "epoch": 0.8533333333333334,
435
+ "grad_norm": 0.004101422615349293,
436
+ "learning_rate": 9.102301097269974e-06,
437
+ "loss": 1.247856616973877,
438
+ "step": 60
439
+ },
440
+ {
441
+ "epoch": 0.8675555555555555,
442
+ "grad_norm": 0.004009375814348459,
443
+ "learning_rate": 9.05473103493355e-06,
444
+ "loss": 1.257920742034912,
445
+ "step": 61
446
+ },
447
+ {
448
+ "epoch": 0.8817777777777778,
449
+ "grad_norm": 0.0039364611729979515,
450
+ "learning_rate": 9.006064026541549e-06,
451
+ "loss": 1.2761049270629883,
452
+ "step": 62
453
+ },
454
+ {
455
+ "epoch": 0.896,
456
+ "grad_norm": 0.004427333828061819,
457
+ "learning_rate": 8.956313238215824e-06,
458
+ "loss": 1.245169997215271,
459
+ "step": 63
460
+ },
461
+ {
462
+ "epoch": 0.9102222222222223,
463
+ "grad_norm": 0.004076611250638962,
464
+ "learning_rate": 8.905492129278478e-06,
465
+ "loss": 1.234323263168335,
466
+ "step": 64
467
+ },
468
+ {
469
+ "epoch": 0.9244444444444444,
470
+ "grad_norm": 0.004032611381262541,
471
+ "learning_rate": 8.85361444861063e-06,
472
+ "loss": 1.2250256538391113,
473
+ "step": 65
474
+ },
475
+ {
476
+ "epoch": 0.9386666666666666,
477
+ "grad_norm": 0.004036127123981714,
478
+ "learning_rate": 8.800694230932885e-06,
479
+ "loss": 1.2339348793029785,
480
+ "step": 66
481
+ },
482
+ {
483
+ "epoch": 0.9528888888888889,
484
+ "grad_norm": 0.004113379865884781,
485
+ "learning_rate": 8.74674579300843e-06,
486
+ "loss": 1.252026081085205,
487
+ "step": 67
488
+ },
489
+ {
490
+ "epoch": 0.9671111111111111,
491
+ "grad_norm": 0.004064187407493591,
492
+ "learning_rate": 8.691783729769874e-06,
493
+ "loss": 1.2473349571228027,
494
+ "step": 68
495
+ },
496
+ {
497
+ "epoch": 0.9813333333333333,
498
+ "grad_norm": 0.0040993476286530495,
499
+ "learning_rate": 8.635822910370793e-06,
500
+ "loss": 1.2227911949157715,
501
+ "step": 69
502
+ },
503
+ {
504
+ "epoch": 0.9955555555555555,
505
+ "grad_norm": 0.003903420874848962,
506
+ "learning_rate": 8.578878474163115e-06,
507
+ "loss": 1.2343428134918213,
508
+ "step": 70
509
+ },
510
+ {
511
+ "epoch": 1.0,
512
+ "grad_norm": 0.006894194986671209,
513
+ "learning_rate": 8.520965826601394e-06,
514
+ "loss": 1.2428948879241943,
515
+ "step": 71
516
+ },
517
+ {
518
+ "epoch": 1.0142222222222221,
519
+ "grad_norm": 0.004313764162361622,
520
+ "learning_rate": 8.462100635075097e-06,
521
+ "loss": 1.202027440071106,
522
+ "step": 72
523
+ },
524
+ {
525
+ "epoch": 1.0284444444444445,
526
+ "grad_norm": 0.004148328676819801,
527
+ "learning_rate": 8.40229882467003e-06,
528
+ "loss": 1.2224020957946777,
529
+ "step": 73
530
+ },
531
+ {
532
+ "epoch": 1.0426666666666666,
533
+ "grad_norm": 0.00453830836340785,
534
+ "learning_rate": 8.341576573860049e-06,
535
+ "loss": 1.2196844816207886,
536
+ "step": 74
537
+ },
538
+ {
539
+ "epoch": 1.056888888888889,
540
+ "grad_norm": 0.004094650503247976,
541
+ "learning_rate": 8.279950310130218e-06,
542
+ "loss": 1.2222049236297607,
543
+ "step": 75
544
+ },
545
+ {
546
+ "epoch": 1.0711111111111111,
547
+ "grad_norm": 0.004169773776084185,
548
+ "learning_rate": 8.2174367055326e-06,
549
+ "loss": 1.2127679586410522,
550
+ "step": 76
551
+ },
552
+ {
553
+ "epoch": 1.0853333333333333,
554
+ "grad_norm": 0.004176456015557051,
555
+ "learning_rate": 8.154052672175888e-06,
556
+ "loss": 1.1962798833847046,
557
+ "step": 77
558
+ },
559
+ {
560
+ "epoch": 1.0995555555555556,
561
+ "grad_norm": 0.004215880297124386,
562
+ "learning_rate": 8.08981535765009e-06,
563
+ "loss": 1.192876935005188,
564
+ "step": 78
565
+ },
566
+ {
567
+ "epoch": 1.1137777777777778,
568
+ "grad_norm": 0.004112801048904657,
569
+ "learning_rate": 8.024742140387506e-06,
570
+ "loss": 1.204209566116333,
571
+ "step": 79
572
+ },
573
+ {
574
+ "epoch": 1.1280000000000001,
575
+ "grad_norm": 0.00416502496227622,
576
+ "learning_rate": 7.95885062496126e-06,
577
+ "loss": 1.2061021327972412,
578
+ "step": 80
579
+ },
580
+ {
581
+ "epoch": 1.1422222222222222,
582
+ "grad_norm": 0.004163650795817375,
583
+ "learning_rate": 7.892158637322647e-06,
584
+ "loss": 1.2074682712554932,
585
+ "step": 81
586
+ },
587
+ {
588
+ "epoch": 1.1564444444444444,
589
+ "grad_norm": 0.004129140637814999,
590
+ "learning_rate": 7.824684219978591e-06,
591
+ "loss": 1.1797451972961426,
592
+ "step": 82
593
+ },
594
+ {
595
+ "epoch": 1.1706666666666667,
596
+ "grad_norm": 0.004320825915783644,
597
+ "learning_rate": 7.756445627110523e-06,
598
+ "loss": 1.2151604890823364,
599
+ "step": 83
600
+ },
601
+ {
602
+ "epoch": 1.1848888888888889,
603
+ "grad_norm": 0.004057695157825947,
604
+ "learning_rate": 7.68746131963598e-06,
605
+ "loss": 1.1917520761489868,
606
+ "step": 84
607
+ },
608
+ {
609
+ "epoch": 1.199111111111111,
610
+ "grad_norm": 0.004045524168759584,
611
+ "learning_rate": 7.6177499602143e-06,
612
+ "loss": 1.1966304779052734,
613
+ "step": 85
614
+ },
615
+ {
616
+ "epoch": 1.2133333333333334,
617
+ "grad_norm": 0.004168134648352861,
618
+ "learning_rate": 7.547330408197695e-06,
619
+ "loss": 1.2256059646606445,
620
+ "step": 86
621
+ },
622
+ {
623
+ "epoch": 1.2275555555555555,
624
+ "grad_norm": 0.0040689390152692795,
625
+ "learning_rate": 7.476221714529167e-06,
626
+ "loss": 1.1984763145446777,
627
+ "step": 87
628
+ },
629
+ {
630
+ "epoch": 1.2417777777777779,
631
+ "grad_norm": 0.004095707554370165,
632
+ "learning_rate": 7.404443116588548e-06,
633
+ "loss": 1.1815118789672852,
634
+ "step": 88
635
+ },
636
+ {
637
+ "epoch": 1.256,
638
+ "grad_norm": 0.004128715489059687,
639
+ "learning_rate": 7.332014032988123e-06,
640
+ "loss": 1.1813948154449463,
641
+ "step": 89
642
+ },
643
+ {
644
+ "epoch": 1.2702222222222221,
645
+ "grad_norm": 0.004037311766296625,
646
+ "learning_rate": 7.2589540583192165e-06,
647
+ "loss": 1.2083604335784912,
648
+ "step": 90
649
+ },
650
+ {
651
+ "epoch": 1.2844444444444445,
652
+ "grad_norm": 0.004094353877007961,
653
+ "learning_rate": 7.185282957851175e-06,
654
+ "loss": 1.2008360624313354,
655
+ "step": 91
656
+ },
657
+ {
658
+ "epoch": 1.2986666666666666,
659
+ "grad_norm": 0.004135950934141874,
660
+ "learning_rate": 7.111020662184174e-06,
661
+ "loss": 1.1902484893798828,
662
+ "step": 92
663
+ },
664
+ {
665
+ "epoch": 1.3128888888888888,
666
+ "grad_norm": 0.003980172332376242,
667
+ "learning_rate": 7.036187261857289e-06,
668
+ "loss": 1.1865317821502686,
669
+ "step": 93
670
+ },
671
+ {
672
+ "epoch": 1.3271111111111111,
673
+ "grad_norm": 0.003914009779691696,
674
+ "learning_rate": 6.960803001913315e-06,
675
+ "loss": 1.1860058307647705,
676
+ "step": 94
677
+ },
678
+ {
679
+ "epoch": 1.3413333333333333,
680
+ "grad_norm": 0.003945492208003998,
681
+ "learning_rate": 6.884888276421766e-06,
682
+ "loss": 1.1842578649520874,
683
+ "step": 95
684
+ },
685
+ {
686
+ "epoch": 1.3555555555555556,
687
+ "grad_norm": 0.0038985933642834425,
688
+ "learning_rate": 6.8084636229615786e-06,
689
+ "loss": 1.1814080476760864,
690
+ "step": 96
691
+ },
692
+ {
693
+ "epoch": 1.3697777777777778,
694
+ "grad_norm": 0.003922275733202696,
695
+ "learning_rate": 6.731549717064975e-06,
696
+ "loss": 1.193676233291626,
697
+ "step": 97
698
+ },
699
+ {
700
+ "epoch": 1.384,
701
+ "grad_norm": 0.004165121354162693,
702
+ "learning_rate": 6.654167366624009e-06,
703
+ "loss": 1.2141278982162476,
704
+ "step": 98
705
+ },
706
+ {
707
+ "epoch": 1.3982222222222223,
708
+ "grad_norm": 0.004156369715929031,
709
+ "learning_rate": 6.576337506261314e-06,
710
+ "loss": 1.1865811347961426,
711
+ "step": 99
712
+ },
713
+ {
714
+ "epoch": 1.4124444444444444,
715
+ "grad_norm": 0.00419853487983346,
716
+ "learning_rate": 6.498081191666549e-06,
717
+ "loss": 1.1954832077026367,
718
+ "step": 100
719
+ },
720
+ {
721
+ "epoch": 1.4124444444444444,
722
+ "eval_loss": 1.1988927125930786,
723
+ "eval_runtime": 11.4257,
724
+ "eval_samples_per_second": 17.504,
725
+ "eval_steps_per_second": 8.752,
726
+ "step": 100
727
+ },
728
+ {
729
+ "epoch": 1.4266666666666667,
730
+ "grad_norm": 0.003968748729676008,
731
+ "learning_rate": 6.419419593900109e-06,
732
+ "loss": 1.1804523468017578,
733
+ "step": 101
734
+ },
735
+ {
736
+ "epoch": 1.4408888888888889,
737
+ "grad_norm": 0.003949783742427826,
738
+ "learning_rate": 6.340373993665607e-06,
739
+ "loss": 1.2068874835968018,
740
+ "step": 102
741
+ },
742
+ {
743
+ "epoch": 1.455111111111111,
744
+ "grad_norm": 0.004127713851630688,
745
+ "learning_rate": 6.2609657755527135e-06,
746
+ "loss": 1.1804969310760498,
747
+ "step": 103
748
+ },
749
+ {
750
+ "epoch": 1.4693333333333334,
751
+ "grad_norm": 0.004182465374469757,
752
+ "learning_rate": 6.1812164222518626e-06,
753
+ "loss": 1.1953659057617188,
754
+ "step": 104
755
+ },
756
+ {
757
+ "epoch": 1.4835555555555555,
758
+ "grad_norm": 0.004224156495183706,
759
+ "learning_rate": 6.101147508742456e-06,
760
+ "loss": 1.1933740377426147,
761
+ "step": 105
762
+ },
763
+ {
764
+ "epoch": 1.4977777777777779,
765
+ "grad_norm": 0.0041472818702459335,
766
+ "learning_rate": 6.020780696456059e-06,
767
+ "loss": 1.201953411102295,
768
+ "step": 106
769
+ },
770
+ {
771
+ "epoch": 1.512,
772
+ "grad_norm": 0.0038781315088272095,
773
+ "learning_rate": 5.940137727416247e-06,
774
+ "loss": 1.1897786855697632,
775
+ "step": 107
776
+ },
777
+ {
778
+ "epoch": 1.5262222222222221,
779
+ "grad_norm": 0.004033711273223162,
780
+ "learning_rate": 5.859240418356614e-06,
781
+ "loss": 1.1798899173736572,
782
+ "step": 108
783
+ },
784
+ {
785
+ "epoch": 1.5404444444444443,
786
+ "grad_norm": 0.00406253058463335,
787
+ "learning_rate": 5.778110654818602e-06,
788
+ "loss": 1.1853947639465332,
789
+ "step": 109
790
+ },
791
+ {
792
+ "epoch": 1.5546666666666666,
793
+ "grad_norm": 0.004025817848742008,
794
+ "learning_rate": 5.696770385230679e-06,
795
+ "loss": 1.1760761737823486,
796
+ "step": 110
797
+ },
798
+ {
799
+ "epoch": 1.568888888888889,
800
+ "grad_norm": 0.004029016941785812,
801
+ "learning_rate": 5.615241614970546e-06,
802
+ "loss": 1.1980795860290527,
803
+ "step": 111
804
+ },
805
+ {
806
+ "epoch": 1.5831111111111111,
807
+ "grad_norm": 0.004079029895365238,
808
+ "learning_rate": 5.533546400411899e-06,
809
+ "loss": 1.1878252029418945,
810
+ "step": 112
811
+ },
812
+ {
813
+ "epoch": 1.5973333333333333,
814
+ "grad_norm": 0.004004180897027254,
815
+ "learning_rate": 5.4517068429574215e-06,
816
+ "loss": 1.1891889572143555,
817
+ "step": 113
818
+ },
819
+ {
820
+ "epoch": 1.6115555555555554,
821
+ "grad_norm": 0.004044163506478071,
822
+ "learning_rate": 5.3697450830595775e-06,
823
+ "loss": 1.1935696601867676,
824
+ "step": 114
825
+ },
826
+ {
827
+ "epoch": 1.6257777777777778,
828
+ "grad_norm": 0.0040819537825882435,
829
+ "learning_rate": 5.287683294230855e-06,
830
+ "loss": 1.1648902893066406,
831
+ "step": 115
832
+ },
833
+ {
834
+ "epoch": 1.6400000000000001,
835
+ "grad_norm": 0.0042525348253548145,
836
+ "learning_rate": 5.20554367704505e-06,
837
+ "loss": 1.1749862432479858,
838
+ "step": 116
839
+ },
840
+ {
841
+ "epoch": 1.6542222222222223,
842
+ "grad_norm": 0.004129970911890268,
843
+ "learning_rate": 5.123348453131242e-06,
844
+ "loss": 1.200908899307251,
845
+ "step": 117
846
+ },
847
+ {
848
+ "epoch": 1.6684444444444444,
849
+ "grad_norm": 0.004072704818099737,
850
+ "learning_rate": 5.041119859162068e-06,
851
+ "loss": 1.189719796180725,
852
+ "step": 118
853
+ },
854
+ {
855
+ "epoch": 1.6826666666666665,
856
+ "grad_norm": 0.004113580100238323,
857
+ "learning_rate": 4.958880140837934e-06,
858
+ "loss": 1.1798235177993774,
859
+ "step": 119
860
+ },
861
+ {
862
+ "epoch": 1.696888888888889,
863
+ "grad_norm": 0.003983311355113983,
864
+ "learning_rate": 4.876651546868759e-06,
865
+ "loss": 1.166198492050171,
866
+ "step": 120
867
+ },
868
+ {
869
+ "epoch": 1.7111111111111112,
870
+ "grad_norm": 0.003966879565268755,
871
+ "learning_rate": 4.794456322954953e-06,
872
+ "loss": 1.1802079677581787,
873
+ "step": 121
874
+ },
875
+ {
876
+ "epoch": 1.7253333333333334,
877
+ "grad_norm": 0.004070781171321869,
878
+ "learning_rate": 4.7123167057691446e-06,
879
+ "loss": 1.1807469129562378,
880
+ "step": 122
881
+ },
882
+ {
883
+ "epoch": 1.7395555555555555,
884
+ "grad_norm": 0.0039869495667517185,
885
+ "learning_rate": 4.630254916940424e-06,
886
+ "loss": 1.1979055404663086,
887
+ "step": 123
888
+ },
889
+ {
890
+ "epoch": 1.7537777777777777,
891
+ "grad_norm": 0.004057880956679583,
892
+ "learning_rate": 4.548293157042581e-06,
893
+ "loss": 1.192582130432129,
894
+ "step": 124
895
+ },
896
+ {
897
+ "epoch": 1.768,
898
+ "grad_norm": 0.004071912728250027,
899
+ "learning_rate": 4.466453599588103e-06,
900
+ "loss": 1.1831550598144531,
901
+ "step": 125
902
+ },
903
+ {
904
+ "epoch": 1.7822222222222224,
905
+ "grad_norm": 0.004058274906128645,
906
+ "learning_rate": 4.384758385029457e-06,
907
+ "loss": 1.1674884557724,
908
+ "step": 126
909
+ },
910
+ {
911
+ "epoch": 1.7964444444444445,
912
+ "grad_norm": 0.0038475256878882647,
913
+ "learning_rate": 4.3032296147693225e-06,
914
+ "loss": 1.181553602218628,
915
+ "step": 127
916
+ },
917
+ {
918
+ "epoch": 1.8106666666666666,
919
+ "grad_norm": 0.0039198137819767,
920
+ "learning_rate": 4.2218893451814005e-06,
921
+ "loss": 1.153355360031128,
922
+ "step": 128
923
+ },
924
+ {
925
+ "epoch": 1.8248888888888888,
926
+ "grad_norm": 0.003993947524577379,
927
+ "learning_rate": 4.140759581643386e-06,
928
+ "loss": 1.1762878894805908,
929
+ "step": 129
930
+ },
931
+ {
932
+ "epoch": 1.8391111111111111,
933
+ "grad_norm": 0.003767550690099597,
934
+ "learning_rate": 4.059862272583755e-06,
935
+ "loss": 1.1792393922805786,
936
+ "step": 130
937
+ },
938
+ {
939
+ "epoch": 1.8533333333333335,
940
+ "grad_norm": 0.004042964428663254,
941
+ "learning_rate": 3.979219303543942e-06,
942
+ "loss": 1.1686198711395264,
943
+ "step": 131
944
+ },
945
+ {
946
+ "epoch": 1.8675555555555556,
947
+ "grad_norm": 0.004027931950986385,
948
+ "learning_rate": 3.898852491257547e-06,
949
+ "loss": 1.179172396659851,
950
+ "step": 132
951
+ },
952
+ {
953
+ "epoch": 1.8817777777777778,
954
+ "grad_norm": 0.003951320890337229,
955
+ "learning_rate": 3.818783577748138e-06,
956
+ "loss": 1.1667160987854004,
957
+ "step": 133
958
+ },
959
+ {
960
+ "epoch": 1.896,
961
+ "grad_norm": 0.003887354861944914,
962
+ "learning_rate": 3.7390342244472886e-06,
963
+ "loss": 1.1844608783721924,
964
+ "step": 134
965
+ },
966
+ {
967
+ "epoch": 1.9102222222222223,
968
+ "grad_norm": 0.003996608778834343,
969
+ "learning_rate": 3.659626006334395e-06,
970
+ "loss": 1.1989758014678955,
971
+ "step": 135
972
+ },
973
+ {
974
+ "epoch": 1.9244444444444444,
975
+ "grad_norm": 0.003960869275033474,
976
+ "learning_rate": 3.5805804060998926e-06,
977
+ "loss": 1.1868371963500977,
978
+ "step": 136
979
+ },
980
+ {
981
+ "epoch": 1.9386666666666668,
982
+ "grad_norm": 0.003877371782436967,
983
+ "learning_rate": 3.501918808333453e-06,
984
+ "loss": 1.166593313217163,
985
+ "step": 137
986
+ },
987
+ {
988
+ "epoch": 1.952888888888889,
989
+ "grad_norm": 0.004059459548443556,
990
+ "learning_rate": 3.4236624937386874e-06,
991
+ "loss": 1.1770471334457397,
992
+ "step": 138
993
+ },
994
+ {
995
+ "epoch": 1.967111111111111,
996
+ "grad_norm": 0.0038016922771930695,
997
+ "learning_rate": 3.3458326333759927e-06,
998
+ "loss": 1.1796729564666748,
999
+ "step": 139
1000
+ },
1001
+ {
1002
+ "epoch": 1.9813333333333332,
1003
+ "grad_norm": 0.00393063947558403,
1004
+ "learning_rate": 3.268450282935026e-06,
1005
+ "loss": 1.1624293327331543,
1006
+ "step": 140
1007
+ },
1008
+ {
1009
+ "epoch": 1.9955555555555555,
1010
+ "grad_norm": 0.0037788248155266047,
1011
+ "learning_rate": 3.1915363770384223e-06,
1012
+ "loss": 1.1687278747558594,
1013
+ "step": 141
1014
+ },
1015
+ {
1016
+ "epoch": 2.0,
1017
+ "grad_norm": 0.006625148933380842,
1018
+ "learning_rate": 3.1151117235782346e-06,
1019
+ "loss": 1.1975963115692139,
1020
+ "step": 142
1021
+ }
1022
+ ],
1023
+ "logging_steps": 1,
1024
+ "max_steps": 213,
1025
+ "num_input_tokens_seen": 0,
1026
+ "num_train_epochs": 3,
1027
+ "save_steps": 500,
1028
+ "stateful_callbacks": {
1029
+ "TrainerControl": {
1030
+ "args": {
1031
+ "should_epoch_stop": false,
1032
+ "should_evaluate": false,
1033
+ "should_log": false,
1034
+ "should_save": true,
1035
+ "should_training_stop": false
1036
+ },
1037
+ "attributes": {}
1038
+ }
1039
+ },
1040
+ "total_flos": 3.010264556330025e+17,
1041
+ "train_batch_size": 1,
1042
+ "trial_name": null,
1043
+ "trial_params": null
1044
+ }
qwen2.5-1.5b-instruct/checkpoint-142/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:439cfa655d37de4fb57f512de1d989fa4287c7c18d86c9d7c320a2bd5256fe19
3
+ size 5649
qwen2.5-1.5b-instruct/checkpoint-213/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\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>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\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" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
qwen2.5-1.5b-instruct/checkpoint-213/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": null,
7
+ "dtype": "float32",
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 21,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "pad_token_id": 151643,
50
+ "rms_norm_eps": 1e-06,
51
+ "rope_parameters": {
52
+ "rope_theta": 1000000.0,
53
+ "rope_type": "default"
54
+ },
55
+ "sliding_window": null,
56
+ "tie_word_embeddings": true,
57
+ "transformers_version": "5.2.0",
58
+ "use_cache": false,
59
+ "use_sliding_window": false,
60
+ "vocab_size": 151936
61
+ }
qwen2.5-1.5b-instruct/checkpoint-213/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "repetition_penalty": 1.1,
9
+ "temperature": 0.7,
10
+ "top_k": 20,
11
+ "top_p": 0.8,
12
+ "transformers_version": "5.2.0"
13
+ }
qwen2.5-1.5b-instruct/checkpoint-213/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:670fc682f9aec84643a6aac7c761dc5caa0aae09dac649f0bed07488527fd569
3
+ size 6174895536
qwen2.5-1.5b-instruct/checkpoint-213/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6447eddee0bc2a3f237cdcb0209e907d2be045f995bc2f5a05b99907bf9d204
3
+ size 12350013801
qwen2.5-1.5b-instruct/checkpoint-213/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95e5fc2074c0df31522a514f862c86cb00d71c946a7f15cc9ec0e53a69fb28a7
3
+ size 14917
qwen2.5-1.5b-instruct/checkpoint-213/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e7153eae67b6c9232a41bc996a2bf5b83229b8c7230d61911ac0fd40e64154e
3
+ size 14917
qwen2.5-1.5b-instruct/checkpoint-213/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c38a67b98c17be81d4c6d00b60029cdedd43e9aba35ca28ec28ef946c400f268
3
+ size 1465
qwen2.5-1.5b-instruct/checkpoint-213/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
3
+ size 11421892
qwen2.5-1.5b-instruct/checkpoint-213/tokenizer_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": null,
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "extra_special_tokens": [
9
+ "<|im_start|>",
10
+ "<|im_end|>",
11
+ "<|object_ref_start|>",
12
+ "<|object_ref_end|>",
13
+ "<|box_start|>",
14
+ "<|box_end|>",
15
+ "<|quad_start|>",
16
+ "<|quad_end|>",
17
+ "<|vision_start|>",
18
+ "<|vision_end|>",
19
+ "<|vision_pad|>",
20
+ "<|image_pad|>",
21
+ "<|video_pad|>"
22
+ ],
23
+ "is_local": false,
24
+ "model_max_length": 131072,
25
+ "pad_token": "<|endoftext|>",
26
+ "padding_side": "right",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "Qwen2Tokenizer",
29
+ "unk_token": null
30
+ }
qwen2.5-1.5b-instruct/checkpoint-213/trainer_state.json ADDED
@@ -0,0 +1,1557 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
+ "eval_steps": 50,
7
+ "global_step": 213,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.014222222222222223,
14
+ "grad_norm": 0.036850932985544205,
15
+ "learning_rate": 0.0,
16
+ "loss": 1.6560986042022705,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.028444444444444446,
21
+ "grad_norm": 0.037402428686618805,
22
+ "learning_rate": 4.5454545454545457e-07,
23
+ "loss": 1.681471347808838,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.042666666666666665,
28
+ "grad_norm": 0.03194897621870041,
29
+ "learning_rate": 9.090909090909091e-07,
30
+ "loss": 1.6596678495407104,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.05688888888888889,
35
+ "grad_norm": 0.02700614556670189,
36
+ "learning_rate": 1.3636363636363636e-06,
37
+ "loss": 1.634795904159546,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.07111111111111111,
42
+ "grad_norm": 0.021732285618782043,
43
+ "learning_rate": 1.8181818181818183e-06,
44
+ "loss": 1.606718897819519,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.08533333333333333,
49
+ "grad_norm": 0.018985262140631676,
50
+ "learning_rate": 2.2727272727272728e-06,
51
+ "loss": 1.5807676315307617,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.09955555555555555,
56
+ "grad_norm": 0.018287895247340202,
57
+ "learning_rate": 2.7272727272727272e-06,
58
+ "loss": 1.5490249395370483,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.11377777777777778,
63
+ "grad_norm": 0.017051130533218384,
64
+ "learning_rate": 3.181818181818182e-06,
65
+ "loss": 1.5317950248718262,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.128,
70
+ "grad_norm": 0.015596743673086166,
71
+ "learning_rate": 3.6363636363636366e-06,
72
+ "loss": 1.5076513290405273,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.14222222222222222,
77
+ "grad_norm": 0.014579818584024906,
78
+ "learning_rate": 4.0909090909090915e-06,
79
+ "loss": 1.4786231517791748,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.15644444444444444,
84
+ "grad_norm": 0.012900307774543762,
85
+ "learning_rate": 4.5454545454545455e-06,
86
+ "loss": 1.469682216644287,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.17066666666666666,
91
+ "grad_norm": 0.011142965406179428,
92
+ "learning_rate": 5e-06,
93
+ "loss": 1.4563651084899902,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.18488888888888888,
98
+ "grad_norm": 0.011200510896742344,
99
+ "learning_rate": 5.4545454545454545e-06,
100
+ "loss": 1.4510159492492676,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.1991111111111111,
105
+ "grad_norm": 0.01117027923464775,
106
+ "learning_rate": 5.90909090909091e-06,
107
+ "loss": 1.440371036529541,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.21333333333333335,
112
+ "grad_norm": 0.010404860600829124,
113
+ "learning_rate": 6.363636363636364e-06,
114
+ "loss": 1.4149150848388672,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.22755555555555557,
119
+ "grad_norm": 0.009069642052054405,
120
+ "learning_rate": 6.818181818181818e-06,
121
+ "loss": 1.3951767683029175,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.24177777777777779,
126
+ "grad_norm": 0.008563642390072346,
127
+ "learning_rate": 7.272727272727273e-06,
128
+ "loss": 1.3866009712219238,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.256,
133
+ "grad_norm": 0.008158586919307709,
134
+ "learning_rate": 7.727272727272727e-06,
135
+ "loss": 1.3851287364959717,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.2702222222222222,
140
+ "grad_norm": 0.008019132539629936,
141
+ "learning_rate": 8.181818181818183e-06,
142
+ "loss": 1.3660919666290283,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.28444444444444444,
147
+ "grad_norm": 0.007505647838115692,
148
+ "learning_rate": 8.636363636363637e-06,
149
+ "loss": 1.3991025686264038,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.2986666666666667,
154
+ "grad_norm": 0.0068238647654652596,
155
+ "learning_rate": 9.090909090909091e-06,
156
+ "loss": 1.3563741445541382,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.3128888888888889,
161
+ "grad_norm": 0.00681255292147398,
162
+ "learning_rate": 9.545454545454547e-06,
163
+ "loss": 1.3432800769805908,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.32711111111111113,
168
+ "grad_norm": 0.0064102653414011,
169
+ "learning_rate": 1e-05,
170
+ "loss": 1.3540418148040771,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.3413333333333333,
175
+ "grad_norm": 0.006286031566560268,
176
+ "learning_rate": 9.999323662872998e-06,
177
+ "loss": 1.3571672439575195,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.35555555555555557,
182
+ "grad_norm": 0.006193141452968121,
183
+ "learning_rate": 9.99729483446475e-06,
184
+ "loss": 1.3181281089782715,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.36977777777777776,
189
+ "grad_norm": 0.005919129587709904,
190
+ "learning_rate": 9.993914063644053e-06,
191
+ "loss": 1.3311502933502197,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.384,
196
+ "grad_norm": 0.005563116166740656,
197
+ "learning_rate": 9.989182265027232e-06,
198
+ "loss": 1.3282787799835205,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.3982222222222222,
203
+ "grad_norm": 0.005611867178231478,
204
+ "learning_rate": 9.98310071873072e-06,
205
+ "loss": 1.325502872467041,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.41244444444444445,
210
+ "grad_norm": 0.0053426348604261875,
211
+ "learning_rate": 9.975671070024741e-06,
212
+ "loss": 1.3453574180603027,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.4266666666666667,
217
+ "grad_norm": 0.0058601596392691135,
218
+ "learning_rate": 9.966895328888195e-06,
219
+ "loss": 1.3257673978805542,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.4408888888888889,
224
+ "grad_norm": 0.005306159611791372,
225
+ "learning_rate": 9.956775869464901e-06,
226
+ "loss": 1.317690372467041,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.45511111111111113,
231
+ "grad_norm": 0.0048169931396842,
232
+ "learning_rate": 9.945315429421307e-06,
233
+ "loss": 1.3243460655212402,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.4693333333333333,
238
+ "grad_norm": 0.0048377541825175285,
239
+ "learning_rate": 9.932517109205849e-06,
240
+ "loss": 1.3194491863250732,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.48355555555555557,
245
+ "grad_norm": 0.004818843677639961,
246
+ "learning_rate": 9.918384371210178e-06,
247
+ "loss": 1.3047914505004883,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.49777777777777776,
252
+ "grad_norm": 0.005093662533909082,
253
+ "learning_rate": 9.902921038832456e-06,
254
+ "loss": 1.2955162525177002,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.512,
259
+ "grad_norm": 0.005024498328566551,
260
+ "learning_rate": 9.886131295443003e-06,
261
+ "loss": 1.3118610382080078,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.5262222222222223,
266
+ "grad_norm": 0.004711818415671587,
267
+ "learning_rate": 9.868019683252543e-06,
268
+ "loss": 1.302067518234253,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.5404444444444444,
273
+ "grad_norm": 0.0047568087466061115,
274
+ "learning_rate": 9.848591102083375e-06,
275
+ "loss": 1.2789689302444458,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.5546666666666666,
280
+ "grad_norm": 0.004525096621364355,
281
+ "learning_rate": 9.82785080804381e-06,
282
+ "loss": 1.2827372550964355,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.5688888888888889,
287
+ "grad_norm": 0.0044178408570587635,
288
+ "learning_rate": 9.805804412106197e-06,
289
+ "loss": 1.2863564491271973,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.5831111111111111,
294
+ "grad_norm": 0.00429871492087841,
295
+ "learning_rate": 9.782457878588977e-06,
296
+ "loss": 1.2768702507019043,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.5973333333333334,
301
+ "grad_norm": 0.004442654084414244,
302
+ "learning_rate": 9.75781752354311e-06,
303
+ "loss": 1.2826354503631592,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.6115555555555555,
308
+ "grad_norm": 0.004453128203749657,
309
+ "learning_rate": 9.731890013043367e-06,
310
+ "loss": 1.275444746017456,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.6257777777777778,
315
+ "grad_norm": 0.004429741762578487,
316
+ "learning_rate": 9.704682361384941e-06,
317
+ "loss": 1.2660303115844727,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.64,
322
+ "grad_norm": 0.004699238575994968,
323
+ "learning_rate": 9.676201929185809e-06,
324
+ "loss": 1.2627251148223877,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.6542222222222223,
329
+ "grad_norm": 0.004564967937767506,
330
+ "learning_rate": 9.646456421395447e-06,
331
+ "loss": 1.2888470888137817,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.6684444444444444,
336
+ "grad_norm": 0.004141585901379585,
337
+ "learning_rate": 9.615453885210368e-06,
338
+ "loss": 1.2826390266418457,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.6826666666666666,
343
+ "grad_norm": 0.004241476766765118,
344
+ "learning_rate": 9.583202707897075e-06,
345
+ "loss": 1.2571580410003662,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.6968888888888889,
350
+ "grad_norm": 0.004200824070721865,
351
+ "learning_rate": 9.549711614523007e-06,
352
+ "loss": 1.2616808414459229,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.7111111111111111,
357
+ "grad_norm": 0.004399280063807964,
358
+ "learning_rate": 9.514989665596114e-06,
359
+ "loss": 1.263854742050171,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.7111111111111111,
364
+ "eval_loss": 1.248613715171814,
365
+ "eval_runtime": 54.7705,
366
+ "eval_samples_per_second": 3.652,
367
+ "eval_steps_per_second": 1.826,
368
+ "step": 50
369
+ },
370
+ {
371
+ "epoch": 0.7253333333333334,
372
+ "grad_norm": 0.004282557871192694,
373
+ "learning_rate": 9.479046254613673e-06,
374
+ "loss": 1.279876947402954,
375
+ "step": 51
376
+ },
377
+ {
378
+ "epoch": 0.7395555555555555,
379
+ "grad_norm": 0.004135944880545139,
380
+ "learning_rate": 9.441891105521005e-06,
381
+ "loss": 1.2600014209747314,
382
+ "step": 52
383
+ },
384
+ {
385
+ "epoch": 0.7537777777777778,
386
+ "grad_norm": 0.0039484258741140366,
387
+ "learning_rate": 9.40353427008083e-06,
388
+ "loss": 1.2702335119247437,
389
+ "step": 53
390
+ },
391
+ {
392
+ "epoch": 0.768,
393
+ "grad_norm": 0.004160050302743912,
394
+ "learning_rate": 9.3639861251539e-06,
395
+ "loss": 1.2441630363464355,
396
+ "step": 54
397
+ },
398
+ {
399
+ "epoch": 0.7822222222222223,
400
+ "grad_norm": 0.004111913964152336,
401
+ "learning_rate": 9.323257369891702e-06,
402
+ "loss": 1.2441895008087158,
403
+ "step": 55
404
+ },
405
+ {
406
+ "epoch": 0.7964444444444444,
407
+ "grad_norm": 0.004063262604176998,
408
+ "learning_rate": 9.281359022841966e-06,
409
+ "loss": 1.255817174911499,
410
+ "step": 56
411
+ },
412
+ {
413
+ "epoch": 0.8106666666666666,
414
+ "grad_norm": 0.003984581213444471,
415
+ "learning_rate": 9.238302418967757e-06,
416
+ "loss": 1.2536640167236328,
417
+ "step": 57
418
+ },
419
+ {
420
+ "epoch": 0.8248888888888889,
421
+ "grad_norm": 0.003996702842414379,
422
+ "learning_rate": 9.194099206580981e-06,
423
+ "loss": 1.2499892711639404,
424
+ "step": 58
425
+ },
426
+ {
427
+ "epoch": 0.8391111111111111,
428
+ "grad_norm": 0.0044861058704555035,
429
+ "learning_rate": 9.14876134419111e-06,
430
+ "loss": 1.248606562614441,
431
+ "step": 59
432
+ },
433
+ {
434
+ "epoch": 0.8533333333333334,
435
+ "grad_norm": 0.004101422615349293,
436
+ "learning_rate": 9.102301097269974e-06,
437
+ "loss": 1.247856616973877,
438
+ "step": 60
439
+ },
440
+ {
441
+ "epoch": 0.8675555555555555,
442
+ "grad_norm": 0.004009375814348459,
443
+ "learning_rate": 9.05473103493355e-06,
444
+ "loss": 1.257920742034912,
445
+ "step": 61
446
+ },
447
+ {
448
+ "epoch": 0.8817777777777778,
449
+ "grad_norm": 0.0039364611729979515,
450
+ "learning_rate": 9.006064026541549e-06,
451
+ "loss": 1.2761049270629883,
452
+ "step": 62
453
+ },
454
+ {
455
+ "epoch": 0.896,
456
+ "grad_norm": 0.004427333828061819,
457
+ "learning_rate": 8.956313238215824e-06,
458
+ "loss": 1.245169997215271,
459
+ "step": 63
460
+ },
461
+ {
462
+ "epoch": 0.9102222222222223,
463
+ "grad_norm": 0.004076611250638962,
464
+ "learning_rate": 8.905492129278478e-06,
465
+ "loss": 1.234323263168335,
466
+ "step": 64
467
+ },
468
+ {
469
+ "epoch": 0.9244444444444444,
470
+ "grad_norm": 0.004032611381262541,
471
+ "learning_rate": 8.85361444861063e-06,
472
+ "loss": 1.2250256538391113,
473
+ "step": 65
474
+ },
475
+ {
476
+ "epoch": 0.9386666666666666,
477
+ "grad_norm": 0.004036127123981714,
478
+ "learning_rate": 8.800694230932885e-06,
479
+ "loss": 1.2339348793029785,
480
+ "step": 66
481
+ },
482
+ {
483
+ "epoch": 0.9528888888888889,
484
+ "grad_norm": 0.004113379865884781,
485
+ "learning_rate": 8.74674579300843e-06,
486
+ "loss": 1.252026081085205,
487
+ "step": 67
488
+ },
489
+ {
490
+ "epoch": 0.9671111111111111,
491
+ "grad_norm": 0.004064187407493591,
492
+ "learning_rate": 8.691783729769874e-06,
493
+ "loss": 1.2473349571228027,
494
+ "step": 68
495
+ },
496
+ {
497
+ "epoch": 0.9813333333333333,
498
+ "grad_norm": 0.0040993476286530495,
499
+ "learning_rate": 8.635822910370793e-06,
500
+ "loss": 1.2227911949157715,
501
+ "step": 69
502
+ },
503
+ {
504
+ "epoch": 0.9955555555555555,
505
+ "grad_norm": 0.003903420874848962,
506
+ "learning_rate": 8.578878474163115e-06,
507
+ "loss": 1.2343428134918213,
508
+ "step": 70
509
+ },
510
+ {
511
+ "epoch": 1.0,
512
+ "grad_norm": 0.006894194986671209,
513
+ "learning_rate": 8.520965826601394e-06,
514
+ "loss": 1.2428948879241943,
515
+ "step": 71
516
+ },
517
+ {
518
+ "epoch": 1.0142222222222221,
519
+ "grad_norm": 0.004313764162361622,
520
+ "learning_rate": 8.462100635075097e-06,
521
+ "loss": 1.202027440071106,
522
+ "step": 72
523
+ },
524
+ {
525
+ "epoch": 1.0284444444444445,
526
+ "grad_norm": 0.004148328676819801,
527
+ "learning_rate": 8.40229882467003e-06,
528
+ "loss": 1.2224020957946777,
529
+ "step": 73
530
+ },
531
+ {
532
+ "epoch": 1.0426666666666666,
533
+ "grad_norm": 0.00453830836340785,
534
+ "learning_rate": 8.341576573860049e-06,
535
+ "loss": 1.2196844816207886,
536
+ "step": 74
537
+ },
538
+ {
539
+ "epoch": 1.056888888888889,
540
+ "grad_norm": 0.004094650503247976,
541
+ "learning_rate": 8.279950310130218e-06,
542
+ "loss": 1.2222049236297607,
543
+ "step": 75
544
+ },
545
+ {
546
+ "epoch": 1.0711111111111111,
547
+ "grad_norm": 0.004169773776084185,
548
+ "learning_rate": 8.2174367055326e-06,
549
+ "loss": 1.2127679586410522,
550
+ "step": 76
551
+ },
552
+ {
553
+ "epoch": 1.0853333333333333,
554
+ "grad_norm": 0.004176456015557051,
555
+ "learning_rate": 8.154052672175888e-06,
556
+ "loss": 1.1962798833847046,
557
+ "step": 77
558
+ },
559
+ {
560
+ "epoch": 1.0995555555555556,
561
+ "grad_norm": 0.004215880297124386,
562
+ "learning_rate": 8.08981535765009e-06,
563
+ "loss": 1.192876935005188,
564
+ "step": 78
565
+ },
566
+ {
567
+ "epoch": 1.1137777777777778,
568
+ "grad_norm": 0.004112801048904657,
569
+ "learning_rate": 8.024742140387506e-06,
570
+ "loss": 1.204209566116333,
571
+ "step": 79
572
+ },
573
+ {
574
+ "epoch": 1.1280000000000001,
575
+ "grad_norm": 0.00416502496227622,
576
+ "learning_rate": 7.95885062496126e-06,
577
+ "loss": 1.2061021327972412,
578
+ "step": 80
579
+ },
580
+ {
581
+ "epoch": 1.1422222222222222,
582
+ "grad_norm": 0.004163650795817375,
583
+ "learning_rate": 7.892158637322647e-06,
584
+ "loss": 1.2074682712554932,
585
+ "step": 81
586
+ },
587
+ {
588
+ "epoch": 1.1564444444444444,
589
+ "grad_norm": 0.004129140637814999,
590
+ "learning_rate": 7.824684219978591e-06,
591
+ "loss": 1.1797451972961426,
592
+ "step": 82
593
+ },
594
+ {
595
+ "epoch": 1.1706666666666667,
596
+ "grad_norm": 0.004320825915783644,
597
+ "learning_rate": 7.756445627110523e-06,
598
+ "loss": 1.2151604890823364,
599
+ "step": 83
600
+ },
601
+ {
602
+ "epoch": 1.1848888888888889,
603
+ "grad_norm": 0.004057695157825947,
604
+ "learning_rate": 7.68746131963598e-06,
605
+ "loss": 1.1917520761489868,
606
+ "step": 84
607
+ },
608
+ {
609
+ "epoch": 1.199111111111111,
610
+ "grad_norm": 0.004045524168759584,
611
+ "learning_rate": 7.6177499602143e-06,
612
+ "loss": 1.1966304779052734,
613
+ "step": 85
614
+ },
615
+ {
616
+ "epoch": 1.2133333333333334,
617
+ "grad_norm": 0.004168134648352861,
618
+ "learning_rate": 7.547330408197695e-06,
619
+ "loss": 1.2256059646606445,
620
+ "step": 86
621
+ },
622
+ {
623
+ "epoch": 1.2275555555555555,
624
+ "grad_norm": 0.0040689390152692795,
625
+ "learning_rate": 7.476221714529167e-06,
626
+ "loss": 1.1984763145446777,
627
+ "step": 87
628
+ },
629
+ {
630
+ "epoch": 1.2417777777777779,
631
+ "grad_norm": 0.004095707554370165,
632
+ "learning_rate": 7.404443116588548e-06,
633
+ "loss": 1.1815118789672852,
634
+ "step": 88
635
+ },
636
+ {
637
+ "epoch": 1.256,
638
+ "grad_norm": 0.004128715489059687,
639
+ "learning_rate": 7.332014032988123e-06,
640
+ "loss": 1.1813948154449463,
641
+ "step": 89
642
+ },
643
+ {
644
+ "epoch": 1.2702222222222221,
645
+ "grad_norm": 0.004037311766296625,
646
+ "learning_rate": 7.2589540583192165e-06,
647
+ "loss": 1.2083604335784912,
648
+ "step": 90
649
+ },
650
+ {
651
+ "epoch": 1.2844444444444445,
652
+ "grad_norm": 0.004094353877007961,
653
+ "learning_rate": 7.185282957851175e-06,
654
+ "loss": 1.2008360624313354,
655
+ "step": 91
656
+ },
657
+ {
658
+ "epoch": 1.2986666666666666,
659
+ "grad_norm": 0.004135950934141874,
660
+ "learning_rate": 7.111020662184174e-06,
661
+ "loss": 1.1902484893798828,
662
+ "step": 92
663
+ },
664
+ {
665
+ "epoch": 1.3128888888888888,
666
+ "grad_norm": 0.003980172332376242,
667
+ "learning_rate": 7.036187261857289e-06,
668
+ "loss": 1.1865317821502686,
669
+ "step": 93
670
+ },
671
+ {
672
+ "epoch": 1.3271111111111111,
673
+ "grad_norm": 0.003914009779691696,
674
+ "learning_rate": 6.960803001913315e-06,
675
+ "loss": 1.1860058307647705,
676
+ "step": 94
677
+ },
678
+ {
679
+ "epoch": 1.3413333333333333,
680
+ "grad_norm": 0.003945492208003998,
681
+ "learning_rate": 6.884888276421766e-06,
682
+ "loss": 1.1842578649520874,
683
+ "step": 95
684
+ },
685
+ {
686
+ "epoch": 1.3555555555555556,
687
+ "grad_norm": 0.0038985933642834425,
688
+ "learning_rate": 6.8084636229615786e-06,
689
+ "loss": 1.1814080476760864,
690
+ "step": 96
691
+ },
692
+ {
693
+ "epoch": 1.3697777777777778,
694
+ "grad_norm": 0.003922275733202696,
695
+ "learning_rate": 6.731549717064975e-06,
696
+ "loss": 1.193676233291626,
697
+ "step": 97
698
+ },
699
+ {
700
+ "epoch": 1.384,
701
+ "grad_norm": 0.004165121354162693,
702
+ "learning_rate": 6.654167366624009e-06,
703
+ "loss": 1.2141278982162476,
704
+ "step": 98
705
+ },
706
+ {
707
+ "epoch": 1.3982222222222223,
708
+ "grad_norm": 0.004156369715929031,
709
+ "learning_rate": 6.576337506261314e-06,
710
+ "loss": 1.1865811347961426,
711
+ "step": 99
712
+ },
713
+ {
714
+ "epoch": 1.4124444444444444,
715
+ "grad_norm": 0.00419853487983346,
716
+ "learning_rate": 6.498081191666549e-06,
717
+ "loss": 1.1954832077026367,
718
+ "step": 100
719
+ },
720
+ {
721
+ "epoch": 1.4124444444444444,
722
+ "eval_loss": 1.1988927125930786,
723
+ "eval_runtime": 11.4257,
724
+ "eval_samples_per_second": 17.504,
725
+ "eval_steps_per_second": 8.752,
726
+ "step": 100
727
+ },
728
+ {
729
+ "epoch": 1.4266666666666667,
730
+ "grad_norm": 0.003968748729676008,
731
+ "learning_rate": 6.419419593900109e-06,
732
+ "loss": 1.1804523468017578,
733
+ "step": 101
734
+ },
735
+ {
736
+ "epoch": 1.4408888888888889,
737
+ "grad_norm": 0.003949783742427826,
738
+ "learning_rate": 6.340373993665607e-06,
739
+ "loss": 1.2068874835968018,
740
+ "step": 102
741
+ },
742
+ {
743
+ "epoch": 1.455111111111111,
744
+ "grad_norm": 0.004127713851630688,
745
+ "learning_rate": 6.2609657755527135e-06,
746
+ "loss": 1.1804969310760498,
747
+ "step": 103
748
+ },
749
+ {
750
+ "epoch": 1.4693333333333334,
751
+ "grad_norm": 0.004182465374469757,
752
+ "learning_rate": 6.1812164222518626e-06,
753
+ "loss": 1.1953659057617188,
754
+ "step": 104
755
+ },
756
+ {
757
+ "epoch": 1.4835555555555555,
758
+ "grad_norm": 0.004224156495183706,
759
+ "learning_rate": 6.101147508742456e-06,
760
+ "loss": 1.1933740377426147,
761
+ "step": 105
762
+ },
763
+ {
764
+ "epoch": 1.4977777777777779,
765
+ "grad_norm": 0.0041472818702459335,
766
+ "learning_rate": 6.020780696456059e-06,
767
+ "loss": 1.201953411102295,
768
+ "step": 106
769
+ },
770
+ {
771
+ "epoch": 1.512,
772
+ "grad_norm": 0.0038781315088272095,
773
+ "learning_rate": 5.940137727416247e-06,
774
+ "loss": 1.1897786855697632,
775
+ "step": 107
776
+ },
777
+ {
778
+ "epoch": 1.5262222222222221,
779
+ "grad_norm": 0.004033711273223162,
780
+ "learning_rate": 5.859240418356614e-06,
781
+ "loss": 1.1798899173736572,
782
+ "step": 108
783
+ },
784
+ {
785
+ "epoch": 1.5404444444444443,
786
+ "grad_norm": 0.00406253058463335,
787
+ "learning_rate": 5.778110654818602e-06,
788
+ "loss": 1.1853947639465332,
789
+ "step": 109
790
+ },
791
+ {
792
+ "epoch": 1.5546666666666666,
793
+ "grad_norm": 0.004025817848742008,
794
+ "learning_rate": 5.696770385230679e-06,
795
+ "loss": 1.1760761737823486,
796
+ "step": 110
797
+ },
798
+ {
799
+ "epoch": 1.568888888888889,
800
+ "grad_norm": 0.004029016941785812,
801
+ "learning_rate": 5.615241614970546e-06,
802
+ "loss": 1.1980795860290527,
803
+ "step": 111
804
+ },
805
+ {
806
+ "epoch": 1.5831111111111111,
807
+ "grad_norm": 0.004079029895365238,
808
+ "learning_rate": 5.533546400411899e-06,
809
+ "loss": 1.1878252029418945,
810
+ "step": 112
811
+ },
812
+ {
813
+ "epoch": 1.5973333333333333,
814
+ "grad_norm": 0.004004180897027254,
815
+ "learning_rate": 5.4517068429574215e-06,
816
+ "loss": 1.1891889572143555,
817
+ "step": 113
818
+ },
819
+ {
820
+ "epoch": 1.6115555555555554,
821
+ "grad_norm": 0.004044163506478071,
822
+ "learning_rate": 5.3697450830595775e-06,
823
+ "loss": 1.1935696601867676,
824
+ "step": 114
825
+ },
826
+ {
827
+ "epoch": 1.6257777777777778,
828
+ "grad_norm": 0.0040819537825882435,
829
+ "learning_rate": 5.287683294230855e-06,
830
+ "loss": 1.1648902893066406,
831
+ "step": 115
832
+ },
833
+ {
834
+ "epoch": 1.6400000000000001,
835
+ "grad_norm": 0.0042525348253548145,
836
+ "learning_rate": 5.20554367704505e-06,
837
+ "loss": 1.1749862432479858,
838
+ "step": 116
839
+ },
840
+ {
841
+ "epoch": 1.6542222222222223,
842
+ "grad_norm": 0.004129970911890268,
843
+ "learning_rate": 5.123348453131242e-06,
844
+ "loss": 1.200908899307251,
845
+ "step": 117
846
+ },
847
+ {
848
+ "epoch": 1.6684444444444444,
849
+ "grad_norm": 0.004072704818099737,
850
+ "learning_rate": 5.041119859162068e-06,
851
+ "loss": 1.189719796180725,
852
+ "step": 118
853
+ },
854
+ {
855
+ "epoch": 1.6826666666666665,
856
+ "grad_norm": 0.004113580100238323,
857
+ "learning_rate": 4.958880140837934e-06,
858
+ "loss": 1.1798235177993774,
859
+ "step": 119
860
+ },
861
+ {
862
+ "epoch": 1.696888888888889,
863
+ "grad_norm": 0.003983311355113983,
864
+ "learning_rate": 4.876651546868759e-06,
865
+ "loss": 1.166198492050171,
866
+ "step": 120
867
+ },
868
+ {
869
+ "epoch": 1.7111111111111112,
870
+ "grad_norm": 0.003966879565268755,
871
+ "learning_rate": 4.794456322954953e-06,
872
+ "loss": 1.1802079677581787,
873
+ "step": 121
874
+ },
875
+ {
876
+ "epoch": 1.7253333333333334,
877
+ "grad_norm": 0.004070781171321869,
878
+ "learning_rate": 4.7123167057691446e-06,
879
+ "loss": 1.1807469129562378,
880
+ "step": 122
881
+ },
882
+ {
883
+ "epoch": 1.7395555555555555,
884
+ "grad_norm": 0.0039869495667517185,
885
+ "learning_rate": 4.630254916940424e-06,
886
+ "loss": 1.1979055404663086,
887
+ "step": 123
888
+ },
889
+ {
890
+ "epoch": 1.7537777777777777,
891
+ "grad_norm": 0.004057880956679583,
892
+ "learning_rate": 4.548293157042581e-06,
893
+ "loss": 1.192582130432129,
894
+ "step": 124
895
+ },
896
+ {
897
+ "epoch": 1.768,
898
+ "grad_norm": 0.004071912728250027,
899
+ "learning_rate": 4.466453599588103e-06,
900
+ "loss": 1.1831550598144531,
901
+ "step": 125
902
+ },
903
+ {
904
+ "epoch": 1.7822222222222224,
905
+ "grad_norm": 0.004058274906128645,
906
+ "learning_rate": 4.384758385029457e-06,
907
+ "loss": 1.1674884557724,
908
+ "step": 126
909
+ },
910
+ {
911
+ "epoch": 1.7964444444444445,
912
+ "grad_norm": 0.0038475256878882647,
913
+ "learning_rate": 4.3032296147693225e-06,
914
+ "loss": 1.181553602218628,
915
+ "step": 127
916
+ },
917
+ {
918
+ "epoch": 1.8106666666666666,
919
+ "grad_norm": 0.0039198137819767,
920
+ "learning_rate": 4.2218893451814005e-06,
921
+ "loss": 1.153355360031128,
922
+ "step": 128
923
+ },
924
+ {
925
+ "epoch": 1.8248888888888888,
926
+ "grad_norm": 0.003993947524577379,
927
+ "learning_rate": 4.140759581643386e-06,
928
+ "loss": 1.1762878894805908,
929
+ "step": 129
930
+ },
931
+ {
932
+ "epoch": 1.8391111111111111,
933
+ "grad_norm": 0.003767550690099597,
934
+ "learning_rate": 4.059862272583755e-06,
935
+ "loss": 1.1792393922805786,
936
+ "step": 130
937
+ },
938
+ {
939
+ "epoch": 1.8533333333333335,
940
+ "grad_norm": 0.004042964428663254,
941
+ "learning_rate": 3.979219303543942e-06,
942
+ "loss": 1.1686198711395264,
943
+ "step": 131
944
+ },
945
+ {
946
+ "epoch": 1.8675555555555556,
947
+ "grad_norm": 0.004027931950986385,
948
+ "learning_rate": 3.898852491257547e-06,
949
+ "loss": 1.179172396659851,
950
+ "step": 132
951
+ },
952
+ {
953
+ "epoch": 1.8817777777777778,
954
+ "grad_norm": 0.003951320890337229,
955
+ "learning_rate": 3.818783577748138e-06,
956
+ "loss": 1.1667160987854004,
957
+ "step": 133
958
+ },
959
+ {
960
+ "epoch": 1.896,
961
+ "grad_norm": 0.003887354861944914,
962
+ "learning_rate": 3.7390342244472886e-06,
963
+ "loss": 1.1844608783721924,
964
+ "step": 134
965
+ },
966
+ {
967
+ "epoch": 1.9102222222222223,
968
+ "grad_norm": 0.003996608778834343,
969
+ "learning_rate": 3.659626006334395e-06,
970
+ "loss": 1.1989758014678955,
971
+ "step": 135
972
+ },
973
+ {
974
+ "epoch": 1.9244444444444444,
975
+ "grad_norm": 0.003960869275033474,
976
+ "learning_rate": 3.5805804060998926e-06,
977
+ "loss": 1.1868371963500977,
978
+ "step": 136
979
+ },
980
+ {
981
+ "epoch": 1.9386666666666668,
982
+ "grad_norm": 0.003877371782436967,
983
+ "learning_rate": 3.501918808333453e-06,
984
+ "loss": 1.166593313217163,
985
+ "step": 137
986
+ },
987
+ {
988
+ "epoch": 1.952888888888889,
989
+ "grad_norm": 0.004059459548443556,
990
+ "learning_rate": 3.4236624937386874e-06,
991
+ "loss": 1.1770471334457397,
992
+ "step": 138
993
+ },
994
+ {
995
+ "epoch": 1.967111111111111,
996
+ "grad_norm": 0.0038016922771930695,
997
+ "learning_rate": 3.3458326333759927e-06,
998
+ "loss": 1.1796729564666748,
999
+ "step": 139
1000
+ },
1001
+ {
1002
+ "epoch": 1.9813333333333332,
1003
+ "grad_norm": 0.00393063947558403,
1004
+ "learning_rate": 3.268450282935026e-06,
1005
+ "loss": 1.1624293327331543,
1006
+ "step": 140
1007
+ },
1008
+ {
1009
+ "epoch": 1.9955555555555555,
1010
+ "grad_norm": 0.0037788248155266047,
1011
+ "learning_rate": 3.1915363770384223e-06,
1012
+ "loss": 1.1687278747558594,
1013
+ "step": 141
1014
+ },
1015
+ {
1016
+ "epoch": 2.0,
1017
+ "grad_norm": 0.006625148933380842,
1018
+ "learning_rate": 3.1151117235782346e-06,
1019
+ "loss": 1.1975963115692139,
1020
+ "step": 142
1021
+ },
1022
+ {
1023
+ "epoch": 2.014222222222222,
1024
+ "grad_norm": 0.003876346629112959,
1025
+ "learning_rate": 3.0391969980866874e-06,
1026
+ "loss": 1.1713850498199463,
1027
+ "step": 143
1028
+ },
1029
+ {
1030
+ "epoch": 2.0284444444444443,
1031
+ "grad_norm": 0.003996741026639938,
1032
+ "learning_rate": 2.963812738142713e-06,
1033
+ "loss": 1.1817915439605713,
1034
+ "step": 144
1035
+ },
1036
+ {
1037
+ "epoch": 2.042666666666667,
1038
+ "grad_norm": 0.003873717039823532,
1039
+ "learning_rate": 2.8889793378158284e-06,
1040
+ "loss": 1.1671693325042725,
1041
+ "step": 145
1042
+ },
1043
+ {
1044
+ "epoch": 2.056888888888889,
1045
+ "grad_norm": 0.003939088433980942,
1046
+ "learning_rate": 2.814717042148827e-06,
1047
+ "loss": 1.1553094387054443,
1048
+ "step": 146
1049
+ },
1050
+ {
1051
+ "epoch": 2.071111111111111,
1052
+ "grad_norm": 0.003916384186595678,
1053
+ "learning_rate": 2.7410459416807856e-06,
1054
+ "loss": 1.1611030101776123,
1055
+ "step": 147
1056
+ },
1057
+ {
1058
+ "epoch": 2.0853333333333333,
1059
+ "grad_norm": 0.0037560381460934877,
1060
+ "learning_rate": 2.6679859670118785e-06,
1061
+ "loss": 1.169109582901001,
1062
+ "step": 148
1063
+ },
1064
+ {
1065
+ "epoch": 2.0995555555555554,
1066
+ "grad_norm": 0.0038683414459228516,
1067
+ "learning_rate": 2.5955568834114523e-06,
1068
+ "loss": 1.1539714336395264,
1069
+ "step": 149
1070
+ },
1071
+ {
1072
+ "epoch": 2.113777777777778,
1073
+ "grad_norm": 0.003892498556524515,
1074
+ "learning_rate": 2.523778285470835e-06,
1075
+ "loss": 1.1314873695373535,
1076
+ "step": 150
1077
+ },
1078
+ {
1079
+ "epoch": 2.113777777777778,
1080
+ "eval_loss": 1.1810542345046997,
1081
+ "eval_runtime": 77.0472,
1082
+ "eval_samples_per_second": 2.596,
1083
+ "eval_steps_per_second": 1.298,
1084
+ "step": 150
1085
+ },
1086
+ {
1087
+ "epoch": 2.128,
1088
+ "grad_norm": 0.003935188986361027,
1089
+ "learning_rate": 2.452669591802307e-06,
1090
+ "loss": 1.1695539951324463,
1091
+ "step": 151
1092
+ },
1093
+ {
1094
+ "epoch": 2.1422222222222222,
1095
+ "grad_norm": 0.0038220868445932865,
1096
+ "learning_rate": 2.3822500397857016e-06,
1097
+ "loss": 1.1494641304016113,
1098
+ "step": 152
1099
+ },
1100
+ {
1101
+ "epoch": 2.1564444444444444,
1102
+ "grad_norm": 0.0038105787243694067,
1103
+ "learning_rate": 2.3125386803640188e-06,
1104
+ "loss": 1.1655616760253906,
1105
+ "step": 153
1106
+ },
1107
+ {
1108
+ "epoch": 2.1706666666666665,
1109
+ "grad_norm": 0.003957564476877451,
1110
+ "learning_rate": 2.243554372889479e-06,
1111
+ "loss": 1.1519088745117188,
1112
+ "step": 154
1113
+ },
1114
+ {
1115
+ "epoch": 2.1848888888888887,
1116
+ "grad_norm": 0.003938976209610701,
1117
+ "learning_rate": 2.1753157800214107e-06,
1118
+ "loss": 1.1479674577713013,
1119
+ "step": 155
1120
+ },
1121
+ {
1122
+ "epoch": 2.1991111111111112,
1123
+ "grad_norm": 0.0037570318672806025,
1124
+ "learning_rate": 2.1078413626773547e-06,
1125
+ "loss": 1.1504448652267456,
1126
+ "step": 156
1127
+ },
1128
+ {
1129
+ "epoch": 2.2133333333333334,
1130
+ "grad_norm": 0.003837036434561014,
1131
+ "learning_rate": 2.0411493750387423e-06,
1132
+ "loss": 1.142012119293213,
1133
+ "step": 157
1134
+ },
1135
+ {
1136
+ "epoch": 2.2275555555555555,
1137
+ "grad_norm": 0.0037807337939739227,
1138
+ "learning_rate": 1.9752578596124955e-06,
1139
+ "loss": 1.1382803916931152,
1140
+ "step": 158
1141
+ },
1142
+ {
1143
+ "epoch": 2.2417777777777776,
1144
+ "grad_norm": 0.0038557867519557476,
1145
+ "learning_rate": 1.9101846423499113e-06,
1146
+ "loss": 1.1602444648742676,
1147
+ "step": 159
1148
+ },
1149
+ {
1150
+ "epoch": 2.2560000000000002,
1151
+ "grad_norm": 0.003806622698903084,
1152
+ "learning_rate": 1.8459473278241125e-06,
1153
+ "loss": 1.146360158920288,
1154
+ "step": 160
1155
+ },
1156
+ {
1157
+ "epoch": 2.2702222222222224,
1158
+ "grad_norm": 0.003777023172006011,
1159
+ "learning_rate": 1.7825632944674016e-06,
1160
+ "loss": 1.1420152187347412,
1161
+ "step": 161
1162
+ },
1163
+ {
1164
+ "epoch": 2.2844444444444445,
1165
+ "grad_norm": 0.0038270214572548866,
1166
+ "learning_rate": 1.7200496898697832e-06,
1167
+ "loss": 1.1756829023361206,
1168
+ "step": 162
1169
+ },
1170
+ {
1171
+ "epoch": 2.2986666666666666,
1172
+ "grad_norm": 0.003796679200604558,
1173
+ "learning_rate": 1.6584234261399535e-06,
1174
+ "loss": 1.1596589088439941,
1175
+ "step": 163
1176
+ },
1177
+ {
1178
+ "epoch": 2.3128888888888888,
1179
+ "grad_norm": 0.003775167977437377,
1180
+ "learning_rate": 1.5977011753299726e-06,
1181
+ "loss": 1.1395504474639893,
1182
+ "step": 164
1183
+ },
1184
+ {
1185
+ "epoch": 2.327111111111111,
1186
+ "grad_norm": 0.0038062240928411484,
1187
+ "learning_rate": 1.5378993649249053e-06,
1188
+ "loss": 1.1680355072021484,
1189
+ "step": 165
1190
+ },
1191
+ {
1192
+ "epoch": 2.3413333333333335,
1193
+ "grad_norm": 0.0038756304420530796,
1194
+ "learning_rate": 1.4790341733986085e-06,
1195
+ "loss": 1.1566658020019531,
1196
+ "step": 166
1197
+ },
1198
+ {
1199
+ "epoch": 2.3555555555555556,
1200
+ "grad_norm": 0.00390993244946003,
1201
+ "learning_rate": 1.4211215258368866e-06,
1202
+ "loss": 1.1633788347244263,
1203
+ "step": 167
1204
+ },
1205
+ {
1206
+ "epoch": 2.3697777777777778,
1207
+ "grad_norm": 0.0038066902197897434,
1208
+ "learning_rate": 1.3641770896292083e-06,
1209
+ "loss": 1.1514759063720703,
1210
+ "step": 168
1211
+ },
1212
+ {
1213
+ "epoch": 2.384,
1214
+ "grad_norm": 0.003804982639849186,
1215
+ "learning_rate": 1.3082162702301276e-06,
1216
+ "loss": 1.1515188217163086,
1217
+ "step": 169
1218
+ },
1219
+ {
1220
+ "epoch": 2.398222222222222,
1221
+ "grad_norm": 0.003867222461849451,
1222
+ "learning_rate": 1.2532542069915722e-06,
1223
+ "loss": 1.1591559648513794,
1224
+ "step": 170
1225
+ },
1226
+ {
1227
+ "epoch": 2.4124444444444446,
1228
+ "grad_norm": 0.0037913229316473007,
1229
+ "learning_rate": 1.1993057690671174e-06,
1230
+ "loss": 1.1669801473617554,
1231
+ "step": 171
1232
+ },
1233
+ {
1234
+ "epoch": 2.4266666666666667,
1235
+ "grad_norm": 0.0037280265241861343,
1236
+ "learning_rate": 1.1463855513893695e-06,
1237
+ "loss": 1.155794382095337,
1238
+ "step": 172
1239
+ },
1240
+ {
1241
+ "epoch": 2.440888888888889,
1242
+ "grad_norm": 0.0040002260357141495,
1243
+ "learning_rate": 1.0945078707215224e-06,
1244
+ "loss": 1.1434683799743652,
1245
+ "step": 173
1246
+ },
1247
+ {
1248
+ "epoch": 2.455111111111111,
1249
+ "grad_norm": 0.0037701099645346403,
1250
+ "learning_rate": 1.0436867617841768e-06,
1251
+ "loss": 1.1586582660675049,
1252
+ "step": 174
1253
+ },
1254
+ {
1255
+ "epoch": 2.469333333333333,
1256
+ "grad_norm": 0.0038694143295288086,
1257
+ "learning_rate": 9.939359734584552e-07,
1258
+ "loss": 1.1643059253692627,
1259
+ "step": 175
1260
+ },
1261
+ {
1262
+ "epoch": 2.4835555555555557,
1263
+ "grad_norm": 0.0036939869169145823,
1264
+ "learning_rate": 9.452689650664515e-07,
1265
+ "loss": 1.137399673461914,
1266
+ "step": 176
1267
+ },
1268
+ {
1269
+ "epoch": 2.497777777777778,
1270
+ "grad_norm": 0.0037478527519851923,
1271
+ "learning_rate": 8.976989027300265e-07,
1272
+ "loss": 1.150512456893921,
1273
+ "step": 177
1274
+ },
1275
+ {
1276
+ "epoch": 2.512,
1277
+ "grad_norm": 0.003883050289005041,
1278
+ "learning_rate": 8.512386558088919e-07,
1279
+ "loss": 1.1556127071380615,
1280
+ "step": 178
1281
+ },
1282
+ {
1283
+ "epoch": 2.526222222222222,
1284
+ "grad_norm": 0.003667640034109354,
1285
+ "learning_rate": 8.059007934190194e-07,
1286
+ "loss": 1.1506540775299072,
1287
+ "step": 179
1288
+ },
1289
+ {
1290
+ "epoch": 2.5404444444444443,
1291
+ "grad_norm": 0.003665938274934888,
1292
+ "learning_rate": 7.61697581032243e-07,
1293
+ "loss": 1.1606539487838745,
1294
+ "step": 180
1295
+ },
1296
+ {
1297
+ "epoch": 2.554666666666667,
1298
+ "grad_norm": 0.0037777498364448547,
1299
+ "learning_rate": 7.186409771580355e-07,
1300
+ "loss": 1.145754098892212,
1301
+ "step": 181
1302
+ },
1303
+ {
1304
+ "epoch": 2.568888888888889,
1305
+ "grad_norm": 0.0037169207353144884,
1306
+ "learning_rate": 6.76742630108298e-07,
1307
+ "loss": 1.1506030559539795,
1308
+ "step": 182
1309
+ },
1310
+ {
1311
+ "epoch": 2.583111111111111,
1312
+ "grad_norm": 0.0036668803077191114,
1313
+ "learning_rate": 6.360138748461015e-07,
1314
+ "loss": 1.1366521120071411,
1315
+ "step": 183
1316
+ },
1317
+ {
1318
+ "epoch": 2.5973333333333333,
1319
+ "grad_norm": 0.0037295217625796795,
1320
+ "learning_rate": 5.964657299191712e-07,
1321
+ "loss": 1.1723542213439941,
1322
+ "step": 184
1323
+ },
1324
+ {
1325
+ "epoch": 2.6115555555555554,
1326
+ "grad_norm": 0.003689161501824856,
1327
+ "learning_rate": 5.581088944789953e-07,
1328
+ "loss": 1.1543989181518555,
1329
+ "step": 185
1330
+ },
1331
+ {
1332
+ "epoch": 2.6257777777777775,
1333
+ "grad_norm": 0.0038293329998850822,
1334
+ "learning_rate": 5.20953745386329e-07,
1335
+ "loss": 1.1481022834777832,
1336
+ "step": 186
1337
+ },
1338
+ {
1339
+ "epoch": 2.64,
1340
+ "grad_norm": 0.0037391053047031164,
1341
+ "learning_rate": 4.850103344038853e-07,
1342
+ "loss": 1.1510019302368164,
1343
+ "step": 187
1344
+ },
1345
+ {
1346
+ "epoch": 2.6542222222222223,
1347
+ "grad_norm": 0.0036369990557432175,
1348
+ "learning_rate": 4.502883854769935e-07,
1349
+ "loss": 1.1454750299453735,
1350
+ "step": 188
1351
+ },
1352
+ {
1353
+ "epoch": 2.6684444444444444,
1354
+ "grad_norm": 0.003734483616426587,
1355
+ "learning_rate": 4.167972921029262e-07,
1356
+ "loss": 1.1555531024932861,
1357
+ "step": 189
1358
+ },
1359
+ {
1360
+ "epoch": 2.6826666666666665,
1361
+ "grad_norm": 0.0037341697607189417,
1362
+ "learning_rate": 3.8454611478963235e-07,
1363
+ "loss": 1.141042709350586,
1364
+ "step": 190
1365
+ },
1366
+ {
1367
+ "epoch": 2.696888888888889,
1368
+ "grad_norm": 0.0036616334691643715,
1369
+ "learning_rate": 3.535435786045538e-07,
1370
+ "loss": 1.1597721576690674,
1371
+ "step": 191
1372
+ },
1373
+ {
1374
+ "epoch": 2.7111111111111112,
1375
+ "grad_norm": 0.0037469498347491026,
1376
+ "learning_rate": 3.237980708141919e-07,
1377
+ "loss": 1.1370229721069336,
1378
+ "step": 192
1379
+ },
1380
+ {
1381
+ "epoch": 2.7253333333333334,
1382
+ "grad_norm": 0.003746448317542672,
1383
+ "learning_rate": 2.9531763861505967e-07,
1384
+ "loss": 1.1386423110961914,
1385
+ "step": 193
1386
+ },
1387
+ {
1388
+ "epoch": 2.7395555555555555,
1389
+ "grad_norm": 0.0038595127407461405,
1390
+ "learning_rate": 2.681099869566328e-07,
1391
+ "loss": 1.141430139541626,
1392
+ "step": 194
1393
+ },
1394
+ {
1395
+ "epoch": 2.7537777777777777,
1396
+ "grad_norm": 0.0037963776849210262,
1397
+ "learning_rate": 2.4218247645689306e-07,
1398
+ "loss": 1.1269652843475342,
1399
+ "step": 195
1400
+ },
1401
+ {
1402
+ "epoch": 2.768,
1403
+ "grad_norm": 0.0037523838691413403,
1404
+ "learning_rate": 2.175421214110235e-07,
1405
+ "loss": 1.1652940511703491,
1406
+ "step": 196
1407
+ },
1408
+ {
1409
+ "epoch": 2.7822222222222224,
1410
+ "grad_norm": 0.0037649553269147873,
1411
+ "learning_rate": 1.941955878938029e-07,
1412
+ "loss": 1.1484644412994385,
1413
+ "step": 197
1414
+ },
1415
+ {
1416
+ "epoch": 2.7964444444444445,
1417
+ "grad_norm": 0.0036591957323253155,
1418
+ "learning_rate": 1.721491919561913e-07,
1419
+ "loss": 1.1459333896636963,
1420
+ "step": 198
1421
+ },
1422
+ {
1423
+ "epoch": 2.8106666666666666,
1424
+ "grad_norm": 0.003836029442027211,
1425
+ "learning_rate": 1.514088979166256e-07,
1426
+ "loss": 1.157778024673462,
1427
+ "step": 199
1428
+ },
1429
+ {
1430
+ "epoch": 2.824888888888889,
1431
+ "grad_norm": 0.003767541144043207,
1432
+ "learning_rate": 1.3198031674745814e-07,
1433
+ "loss": 1.1373133659362793,
1434
+ "step": 200
1435
+ },
1436
+ {
1437
+ "epoch": 2.824888888888889,
1438
+ "eval_loss": 1.1767549514770508,
1439
+ "eval_runtime": 17.7324,
1440
+ "eval_samples_per_second": 11.279,
1441
+ "eval_steps_per_second": 5.639,
1442
+ "step": 200
1443
+ },
1444
+ {
1445
+ "epoch": 2.8391111111111114,
1446
+ "grad_norm": 0.0036713366862386465,
1447
+ "learning_rate": 1.138687045569975e-07,
1448
+ "loss": 1.1472009420394897,
1449
+ "step": 201
1450
+ },
1451
+ {
1452
+ "epoch": 2.8533333333333335,
1453
+ "grad_norm": 0.003775710705667734,
1454
+ "learning_rate": 9.70789611675449e-08,
1455
+ "loss": 1.1417003870010376,
1456
+ "step": 202
1457
+ },
1458
+ {
1459
+ "epoch": 2.8675555555555556,
1460
+ "grad_norm": 0.003818412311375141,
1461
+ "learning_rate": 8.161562878982399e-08,
1462
+ "loss": 1.1214667558670044,
1463
+ "step": 203
1464
+ },
1465
+ {
1466
+ "epoch": 2.8817777777777778,
1467
+ "grad_norm": 0.0038233508821576834,
1468
+ "learning_rate": 6.74828907941516e-08,
1469
+ "loss": 1.138871431350708,
1470
+ "step": 204
1471
+ },
1472
+ {
1473
+ "epoch": 2.896,
1474
+ "grad_norm": 0.0036753350868821144,
1475
+ "learning_rate": 5.468457057869358e-08,
1476
+ "loss": 1.1596763134002686,
1477
+ "step": 205
1478
+ },
1479
+ {
1480
+ "epoch": 2.910222222222222,
1481
+ "grad_norm": 0.0036339866928756237,
1482
+ "learning_rate": 4.322413053509944e-08,
1483
+ "loss": 1.1474013328552246,
1484
+ "step": 206
1485
+ },
1486
+ {
1487
+ "epoch": 2.924444444444444,
1488
+ "grad_norm": 0.003777341218665242,
1489
+ "learning_rate": 3.31046711118066e-08,
1490
+ "loss": 1.1420172452926636,
1491
+ "step": 207
1492
+ },
1493
+ {
1494
+ "epoch": 2.9386666666666668,
1495
+ "grad_norm": 0.0037329578772187233,
1496
+ "learning_rate": 2.4328929975260262e-08,
1497
+ "loss": 1.149836778640747,
1498
+ "step": 208
1499
+ },
1500
+ {
1501
+ "epoch": 2.952888888888889,
1502
+ "grad_norm": 0.00386771815828979,
1503
+ "learning_rate": 1.6899281269279756e-08,
1504
+ "loss": 1.142824649810791,
1505
+ "step": 209
1506
+ },
1507
+ {
1508
+ "epoch": 2.967111111111111,
1509
+ "grad_norm": 0.0036802676040679216,
1510
+ "learning_rate": 1.0817734972768946e-08,
1511
+ "loss": 1.1392970085144043,
1512
+ "step": 210
1513
+ },
1514
+ {
1515
+ "epoch": 2.981333333333333,
1516
+ "grad_norm": 0.003702987916767597,
1517
+ "learning_rate": 6.085936355947897e-09,
1518
+ "loss": 1.1546673774719238,
1519
+ "step": 211
1520
+ },
1521
+ {
1522
+ "epoch": 2.9955555555555557,
1523
+ "grad_norm": 0.0036437278613448143,
1524
+ "learning_rate": 2.7051655352494654e-09,
1525
+ "loss": 1.1519522666931152,
1526
+ "step": 212
1527
+ },
1528
+ {
1529
+ "epoch": 3.0,
1530
+ "grad_norm": 0.006544829346239567,
1531
+ "learning_rate": 6.763371270035457e-10,
1532
+ "loss": 1.1223903894424438,
1533
+ "step": 213
1534
+ }
1535
+ ],
1536
+ "logging_steps": 1,
1537
+ "max_steps": 213,
1538
+ "num_input_tokens_seen": 0,
1539
+ "num_train_epochs": 3,
1540
+ "save_steps": 500,
1541
+ "stateful_callbacks": {
1542
+ "TrainerControl": {
1543
+ "args": {
1544
+ "should_epoch_stop": false,
1545
+ "should_evaluate": false,
1546
+ "should_log": false,
1547
+ "should_save": true,
1548
+ "should_training_stop": true
1549
+ },
1550
+ "attributes": {}
1551
+ }
1552
+ },
1553
+ "total_flos": 4.5153968281196954e+17,
1554
+ "train_batch_size": 1,
1555
+ "trial_name": null,
1556
+ "trial_params": null
1557
+ }
qwen2.5-1.5b-instruct/checkpoint-213/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:439cfa655d37de4fb57f512de1d989fa4287c7c18d86c9d7c320a2bd5256fe19
3
+ size 5649
qwen2.5-1.5b-instruct/checkpoint-71/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\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>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\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" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
qwen2.5-1.5b-instruct/checkpoint-71/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": null,
7
+ "dtype": "float32",
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 21,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "pad_token_id": 151643,
50
+ "rms_norm_eps": 1e-06,
51
+ "rope_parameters": {
52
+ "rope_theta": 1000000.0,
53
+ "rope_type": "default"
54
+ },
55
+ "sliding_window": null,
56
+ "tie_word_embeddings": true,
57
+ "transformers_version": "5.2.0",
58
+ "use_cache": false,
59
+ "use_sliding_window": false,
60
+ "vocab_size": 151936
61
+ }
qwen2.5-1.5b-instruct/checkpoint-71/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "repetition_penalty": 1.1,
9
+ "temperature": 0.7,
10
+ "top_k": 20,
11
+ "top_p": 0.8,
12
+ "transformers_version": "5.2.0"
13
+ }
qwen2.5-1.5b-instruct/checkpoint-71/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49287d78b0916c490ddf0955a3f46c4109ba8705b5dd8d79cfc7a3023a4ce2c8
3
+ size 6174895536
qwen2.5-1.5b-instruct/checkpoint-71/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:173b616688d0890693b2ed96cb88c91d2c3ebe788e38f42f1bc70d71463101a7
3
+ size 12350013801
qwen2.5-1.5b-instruct/checkpoint-71/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95e5fc2074c0df31522a514f862c86cb00d71c946a7f15cc9ec0e53a69fb28a7
3
+ size 14917
qwen2.5-1.5b-instruct/checkpoint-71/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e7153eae67b6c9232a41bc996a2bf5b83229b8c7230d61911ac0fd40e64154e
3
+ size 14917
qwen2.5-1.5b-instruct/checkpoint-71/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c96c28f12671e2f5db493417daefb3ff0b1bc36602843e0d7ef6df3649c27b3
3
+ size 1465
qwen2.5-1.5b-instruct/checkpoint-71/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
3
+ size 11421892
qwen2.5-1.5b-instruct/checkpoint-71/tokenizer_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": null,
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "extra_special_tokens": [
9
+ "<|im_start|>",
10
+ "<|im_end|>",
11
+ "<|object_ref_start|>",
12
+ "<|object_ref_end|>",
13
+ "<|box_start|>",
14
+ "<|box_end|>",
15
+ "<|quad_start|>",
16
+ "<|quad_end|>",
17
+ "<|vision_start|>",
18
+ "<|vision_end|>",
19
+ "<|vision_pad|>",
20
+ "<|image_pad|>",
21
+ "<|video_pad|>"
22
+ ],
23
+ "is_local": false,
24
+ "model_max_length": 131072,
25
+ "pad_token": "<|endoftext|>",
26
+ "padding_side": "right",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "Qwen2Tokenizer",
29
+ "unk_token": null
30
+ }
qwen2.5-1.5b-instruct/checkpoint-71/trainer_state.json ADDED
@@ -0,0 +1,539 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 50,
7
+ "global_step": 71,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.014222222222222223,
14
+ "grad_norm": 0.036850932985544205,
15
+ "learning_rate": 0.0,
16
+ "loss": 1.6560986042022705,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.028444444444444446,
21
+ "grad_norm": 0.037402428686618805,
22
+ "learning_rate": 4.5454545454545457e-07,
23
+ "loss": 1.681471347808838,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.042666666666666665,
28
+ "grad_norm": 0.03194897621870041,
29
+ "learning_rate": 9.090909090909091e-07,
30
+ "loss": 1.6596678495407104,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.05688888888888889,
35
+ "grad_norm": 0.02700614556670189,
36
+ "learning_rate": 1.3636363636363636e-06,
37
+ "loss": 1.634795904159546,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.07111111111111111,
42
+ "grad_norm": 0.021732285618782043,
43
+ "learning_rate": 1.8181818181818183e-06,
44
+ "loss": 1.606718897819519,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.08533333333333333,
49
+ "grad_norm": 0.018985262140631676,
50
+ "learning_rate": 2.2727272727272728e-06,
51
+ "loss": 1.5807676315307617,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.09955555555555555,
56
+ "grad_norm": 0.018287895247340202,
57
+ "learning_rate": 2.7272727272727272e-06,
58
+ "loss": 1.5490249395370483,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.11377777777777778,
63
+ "grad_norm": 0.017051130533218384,
64
+ "learning_rate": 3.181818181818182e-06,
65
+ "loss": 1.5317950248718262,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.128,
70
+ "grad_norm": 0.015596743673086166,
71
+ "learning_rate": 3.6363636363636366e-06,
72
+ "loss": 1.5076513290405273,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.14222222222222222,
77
+ "grad_norm": 0.014579818584024906,
78
+ "learning_rate": 4.0909090909090915e-06,
79
+ "loss": 1.4786231517791748,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.15644444444444444,
84
+ "grad_norm": 0.012900307774543762,
85
+ "learning_rate": 4.5454545454545455e-06,
86
+ "loss": 1.469682216644287,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.17066666666666666,
91
+ "grad_norm": 0.011142965406179428,
92
+ "learning_rate": 5e-06,
93
+ "loss": 1.4563651084899902,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.18488888888888888,
98
+ "grad_norm": 0.011200510896742344,
99
+ "learning_rate": 5.4545454545454545e-06,
100
+ "loss": 1.4510159492492676,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.1991111111111111,
105
+ "grad_norm": 0.01117027923464775,
106
+ "learning_rate": 5.90909090909091e-06,
107
+ "loss": 1.440371036529541,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.21333333333333335,
112
+ "grad_norm": 0.010404860600829124,
113
+ "learning_rate": 6.363636363636364e-06,
114
+ "loss": 1.4149150848388672,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.22755555555555557,
119
+ "grad_norm": 0.009069642052054405,
120
+ "learning_rate": 6.818181818181818e-06,
121
+ "loss": 1.3951767683029175,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.24177777777777779,
126
+ "grad_norm": 0.008563642390072346,
127
+ "learning_rate": 7.272727272727273e-06,
128
+ "loss": 1.3866009712219238,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.256,
133
+ "grad_norm": 0.008158586919307709,
134
+ "learning_rate": 7.727272727272727e-06,
135
+ "loss": 1.3851287364959717,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.2702222222222222,
140
+ "grad_norm": 0.008019132539629936,
141
+ "learning_rate": 8.181818181818183e-06,
142
+ "loss": 1.3660919666290283,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.28444444444444444,
147
+ "grad_norm": 0.007505647838115692,
148
+ "learning_rate": 8.636363636363637e-06,
149
+ "loss": 1.3991025686264038,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.2986666666666667,
154
+ "grad_norm": 0.0068238647654652596,
155
+ "learning_rate": 9.090909090909091e-06,
156
+ "loss": 1.3563741445541382,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.3128888888888889,
161
+ "grad_norm": 0.00681255292147398,
162
+ "learning_rate": 9.545454545454547e-06,
163
+ "loss": 1.3432800769805908,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.32711111111111113,
168
+ "grad_norm": 0.0064102653414011,
169
+ "learning_rate": 1e-05,
170
+ "loss": 1.3540418148040771,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.3413333333333333,
175
+ "grad_norm": 0.006286031566560268,
176
+ "learning_rate": 9.999323662872998e-06,
177
+ "loss": 1.3571672439575195,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.35555555555555557,
182
+ "grad_norm": 0.006193141452968121,
183
+ "learning_rate": 9.99729483446475e-06,
184
+ "loss": 1.3181281089782715,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.36977777777777776,
189
+ "grad_norm": 0.005919129587709904,
190
+ "learning_rate": 9.993914063644053e-06,
191
+ "loss": 1.3311502933502197,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.384,
196
+ "grad_norm": 0.005563116166740656,
197
+ "learning_rate": 9.989182265027232e-06,
198
+ "loss": 1.3282787799835205,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.3982222222222222,
203
+ "grad_norm": 0.005611867178231478,
204
+ "learning_rate": 9.98310071873072e-06,
205
+ "loss": 1.325502872467041,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.41244444444444445,
210
+ "grad_norm": 0.0053426348604261875,
211
+ "learning_rate": 9.975671070024741e-06,
212
+ "loss": 1.3453574180603027,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.4266666666666667,
217
+ "grad_norm": 0.0058601596392691135,
218
+ "learning_rate": 9.966895328888195e-06,
219
+ "loss": 1.3257673978805542,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.4408888888888889,
224
+ "grad_norm": 0.005306159611791372,
225
+ "learning_rate": 9.956775869464901e-06,
226
+ "loss": 1.317690372467041,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.45511111111111113,
231
+ "grad_norm": 0.0048169931396842,
232
+ "learning_rate": 9.945315429421307e-06,
233
+ "loss": 1.3243460655212402,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.4693333333333333,
238
+ "grad_norm": 0.0048377541825175285,
239
+ "learning_rate": 9.932517109205849e-06,
240
+ "loss": 1.3194491863250732,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.48355555555555557,
245
+ "grad_norm": 0.004818843677639961,
246
+ "learning_rate": 9.918384371210178e-06,
247
+ "loss": 1.3047914505004883,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.49777777777777776,
252
+ "grad_norm": 0.005093662533909082,
253
+ "learning_rate": 9.902921038832456e-06,
254
+ "loss": 1.2955162525177002,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.512,
259
+ "grad_norm": 0.005024498328566551,
260
+ "learning_rate": 9.886131295443003e-06,
261
+ "loss": 1.3118610382080078,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.5262222222222223,
266
+ "grad_norm": 0.004711818415671587,
267
+ "learning_rate": 9.868019683252543e-06,
268
+ "loss": 1.302067518234253,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.5404444444444444,
273
+ "grad_norm": 0.0047568087466061115,
274
+ "learning_rate": 9.848591102083375e-06,
275
+ "loss": 1.2789689302444458,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.5546666666666666,
280
+ "grad_norm": 0.004525096621364355,
281
+ "learning_rate": 9.82785080804381e-06,
282
+ "loss": 1.2827372550964355,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.5688888888888889,
287
+ "grad_norm": 0.0044178408570587635,
288
+ "learning_rate": 9.805804412106197e-06,
289
+ "loss": 1.2863564491271973,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.5831111111111111,
294
+ "grad_norm": 0.00429871492087841,
295
+ "learning_rate": 9.782457878588977e-06,
296
+ "loss": 1.2768702507019043,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.5973333333333334,
301
+ "grad_norm": 0.004442654084414244,
302
+ "learning_rate": 9.75781752354311e-06,
303
+ "loss": 1.2826354503631592,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.6115555555555555,
308
+ "grad_norm": 0.004453128203749657,
309
+ "learning_rate": 9.731890013043367e-06,
310
+ "loss": 1.275444746017456,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.6257777777777778,
315
+ "grad_norm": 0.004429741762578487,
316
+ "learning_rate": 9.704682361384941e-06,
317
+ "loss": 1.2660303115844727,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.64,
322
+ "grad_norm": 0.004699238575994968,
323
+ "learning_rate": 9.676201929185809e-06,
324
+ "loss": 1.2627251148223877,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.6542222222222223,
329
+ "grad_norm": 0.004564967937767506,
330
+ "learning_rate": 9.646456421395447e-06,
331
+ "loss": 1.2888470888137817,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.6684444444444444,
336
+ "grad_norm": 0.004141585901379585,
337
+ "learning_rate": 9.615453885210368e-06,
338
+ "loss": 1.2826390266418457,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.6826666666666666,
343
+ "grad_norm": 0.004241476766765118,
344
+ "learning_rate": 9.583202707897075e-06,
345
+ "loss": 1.2571580410003662,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.6968888888888889,
350
+ "grad_norm": 0.004200824070721865,
351
+ "learning_rate": 9.549711614523007e-06,
352
+ "loss": 1.2616808414459229,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.7111111111111111,
357
+ "grad_norm": 0.004399280063807964,
358
+ "learning_rate": 9.514989665596114e-06,
359
+ "loss": 1.263854742050171,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.7111111111111111,
364
+ "eval_loss": 1.248613715171814,
365
+ "eval_runtime": 54.7705,
366
+ "eval_samples_per_second": 3.652,
367
+ "eval_steps_per_second": 1.826,
368
+ "step": 50
369
+ },
370
+ {
371
+ "epoch": 0.7253333333333334,
372
+ "grad_norm": 0.004282557871192694,
373
+ "learning_rate": 9.479046254613673e-06,
374
+ "loss": 1.279876947402954,
375
+ "step": 51
376
+ },
377
+ {
378
+ "epoch": 0.7395555555555555,
379
+ "grad_norm": 0.004135944880545139,
380
+ "learning_rate": 9.441891105521005e-06,
381
+ "loss": 1.2600014209747314,
382
+ "step": 52
383
+ },
384
+ {
385
+ "epoch": 0.7537777777777778,
386
+ "grad_norm": 0.0039484258741140366,
387
+ "learning_rate": 9.40353427008083e-06,
388
+ "loss": 1.2702335119247437,
389
+ "step": 53
390
+ },
391
+ {
392
+ "epoch": 0.768,
393
+ "grad_norm": 0.004160050302743912,
394
+ "learning_rate": 9.3639861251539e-06,
395
+ "loss": 1.2441630363464355,
396
+ "step": 54
397
+ },
398
+ {
399
+ "epoch": 0.7822222222222223,
400
+ "grad_norm": 0.004111913964152336,
401
+ "learning_rate": 9.323257369891702e-06,
402
+ "loss": 1.2441895008087158,
403
+ "step": 55
404
+ },
405
+ {
406
+ "epoch": 0.7964444444444444,
407
+ "grad_norm": 0.004063262604176998,
408
+ "learning_rate": 9.281359022841966e-06,
409
+ "loss": 1.255817174911499,
410
+ "step": 56
411
+ },
412
+ {
413
+ "epoch": 0.8106666666666666,
414
+ "grad_norm": 0.003984581213444471,
415
+ "learning_rate": 9.238302418967757e-06,
416
+ "loss": 1.2536640167236328,
417
+ "step": 57
418
+ },
419
+ {
420
+ "epoch": 0.8248888888888889,
421
+ "grad_norm": 0.003996702842414379,
422
+ "learning_rate": 9.194099206580981e-06,
423
+ "loss": 1.2499892711639404,
424
+ "step": 58
425
+ },
426
+ {
427
+ "epoch": 0.8391111111111111,
428
+ "grad_norm": 0.0044861058704555035,
429
+ "learning_rate": 9.14876134419111e-06,
430
+ "loss": 1.248606562614441,
431
+ "step": 59
432
+ },
433
+ {
434
+ "epoch": 0.8533333333333334,
435
+ "grad_norm": 0.004101422615349293,
436
+ "learning_rate": 9.102301097269974e-06,
437
+ "loss": 1.247856616973877,
438
+ "step": 60
439
+ },
440
+ {
441
+ "epoch": 0.8675555555555555,
442
+ "grad_norm": 0.004009375814348459,
443
+ "learning_rate": 9.05473103493355e-06,
444
+ "loss": 1.257920742034912,
445
+ "step": 61
446
+ },
447
+ {
448
+ "epoch": 0.8817777777777778,
449
+ "grad_norm": 0.0039364611729979515,
450
+ "learning_rate": 9.006064026541549e-06,
451
+ "loss": 1.2761049270629883,
452
+ "step": 62
453
+ },
454
+ {
455
+ "epoch": 0.896,
456
+ "grad_norm": 0.004427333828061819,
457
+ "learning_rate": 8.956313238215824e-06,
458
+ "loss": 1.245169997215271,
459
+ "step": 63
460
+ },
461
+ {
462
+ "epoch": 0.9102222222222223,
463
+ "grad_norm": 0.004076611250638962,
464
+ "learning_rate": 8.905492129278478e-06,
465
+ "loss": 1.234323263168335,
466
+ "step": 64
467
+ },
468
+ {
469
+ "epoch": 0.9244444444444444,
470
+ "grad_norm": 0.004032611381262541,
471
+ "learning_rate": 8.85361444861063e-06,
472
+ "loss": 1.2250256538391113,
473
+ "step": 65
474
+ },
475
+ {
476
+ "epoch": 0.9386666666666666,
477
+ "grad_norm": 0.004036127123981714,
478
+ "learning_rate": 8.800694230932885e-06,
479
+ "loss": 1.2339348793029785,
480
+ "step": 66
481
+ },
482
+ {
483
+ "epoch": 0.9528888888888889,
484
+ "grad_norm": 0.004113379865884781,
485
+ "learning_rate": 8.74674579300843e-06,
486
+ "loss": 1.252026081085205,
487
+ "step": 67
488
+ },
489
+ {
490
+ "epoch": 0.9671111111111111,
491
+ "grad_norm": 0.004064187407493591,
492
+ "learning_rate": 8.691783729769874e-06,
493
+ "loss": 1.2473349571228027,
494
+ "step": 68
495
+ },
496
+ {
497
+ "epoch": 0.9813333333333333,
498
+ "grad_norm": 0.0040993476286530495,
499
+ "learning_rate": 8.635822910370793e-06,
500
+ "loss": 1.2227911949157715,
501
+ "step": 69
502
+ },
503
+ {
504
+ "epoch": 0.9955555555555555,
505
+ "grad_norm": 0.003903420874848962,
506
+ "learning_rate": 8.578878474163115e-06,
507
+ "loss": 1.2343428134918213,
508
+ "step": 70
509
+ },
510
+ {
511
+ "epoch": 1.0,
512
+ "grad_norm": 0.006894194986671209,
513
+ "learning_rate": 8.520965826601394e-06,
514
+ "loss": 1.2428948879241943,
515
+ "step": 71
516
+ }
517
+ ],
518
+ "logging_steps": 1,
519
+ "max_steps": 213,
520
+ "num_input_tokens_seen": 0,
521
+ "num_train_epochs": 3,
522
+ "save_steps": 500,
523
+ "stateful_callbacks": {
524
+ "TrainerControl": {
525
+ "args": {
526
+ "should_epoch_stop": false,
527
+ "should_evaluate": false,
528
+ "should_log": false,
529
+ "should_save": true,
530
+ "should_training_stop": false
531
+ },
532
+ "attributes": {}
533
+ }
534
+ },
535
+ "total_flos": 1.5051322805138227e+17,
536
+ "train_batch_size": 1,
537
+ "trial_name": null,
538
+ "trial_params": null
539
+ }
qwen2.5-1.5b-instruct/checkpoint-71/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:439cfa655d37de4fb57f512de1d989fa4287c7c18d86c9d7c320a2bd5256fe19
3
+ size 5649
qwen2.5-1.5b-instruct/config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": null,
7
+ "dtype": "float32",
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 21,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "pad_token_id": 151643,
50
+ "rms_norm_eps": 1e-06,
51
+ "rope_parameters": {
52
+ "rope_theta": 1000000.0,
53
+ "rope_type": "default"
54
+ },
55
+ "sliding_window": null,
56
+ "tie_word_embeddings": true,
57
+ "transformers_version": "5.2.0",
58
+ "use_cache": false,
59
+ "use_sliding_window": false,
60
+ "vocab_size": 151936
61
+ }
qwen2.5-1.5b-instruct/eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 1.1803252696990967,
4
+ "eval_runtime": 126.8683,
5
+ "eval_samples_per_second": 1.576,
6
+ "eval_steps_per_second": 0.788
7
+ }
qwen2.5-1.5b-instruct/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "repetition_penalty": 1.1,
9
+ "temperature": 0.7,
10
+ "top_k": 20,
11
+ "top_p": 0.8,
12
+ "transformers_version": "5.2.0"
13
+ }
qwen2.5-1.5b-instruct/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:670fc682f9aec84643a6aac7c761dc5caa0aae09dac649f0bed07488527fd569
3
+ size 6174895536
qwen2.5-1.5b-instruct/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
3
+ size 11421892
qwen2.5-1.5b-instruct/tokenizer_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": null,
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "extra_special_tokens": [
9
+ "<|im_start|>",
10
+ "<|im_end|>",
11
+ "<|object_ref_start|>",
12
+ "<|object_ref_end|>",
13
+ "<|box_start|>",
14
+ "<|box_end|>",
15
+ "<|quad_start|>",
16
+ "<|quad_end|>",
17
+ "<|vision_start|>",
18
+ "<|vision_end|>",
19
+ "<|vision_pad|>",
20
+ "<|image_pad|>",
21
+ "<|video_pad|>"
22
+ ],
23
+ "is_local": false,
24
+ "model_max_length": 131072,
25
+ "pad_token": "<|endoftext|>",
26
+ "padding_side": "right",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "Qwen2Tokenizer",
29
+ "unk_token": null
30
+ }
qwen2.5-1.5b-instruct/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 4.5153968281196954e+17,
4
+ "train_loss": 0.0,
5
+ "train_runtime": 4.5863,
6
+ "train_samples_per_second": 11774.243,
7
+ "train_steps_per_second": 46.443
8
+ }
qwen2.5-1.5b-instruct/trainer_log.jsonl ADDED
@@ -0,0 +1,219 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 213, "loss": 1.6560986042022705, "lr": 0.0, "epoch": 0.014222222222222223, "percentage": 0.47, "elapsed_time": "0:00:47", "remaining_time": "2:48:24"}
2
+ {"current_steps": 2, "total_steps": 213, "loss": 1.681471347808838, "lr": 4.5454545454545457e-07, "epoch": 0.028444444444444446, "percentage": 0.94, "elapsed_time": "0:01:35", "remaining_time": "2:47:26"}
3
+ {"current_steps": 3, "total_steps": 213, "loss": 1.6596678495407104, "lr": 9.090909090909091e-07, "epoch": 0.042666666666666665, "percentage": 1.41, "elapsed_time": "0:02:23", "remaining_time": "2:46:52"}
4
+ {"current_steps": 4, "total_steps": 213, "loss": 1.634795904159546, "lr": 1.3636363636363636e-06, "epoch": 0.05688888888888889, "percentage": 1.88, "elapsed_time": "0:03:10", "remaining_time": "2:46:06"}
5
+ {"current_steps": 5, "total_steps": 213, "loss": 1.606718897819519, "lr": 1.8181818181818183e-06, "epoch": 0.07111111111111111, "percentage": 2.35, "elapsed_time": "0:03:58", "remaining_time": "2:45:26"}
6
+ {"current_steps": 6, "total_steps": 213, "loss": 1.5807676315307617, "lr": 2.2727272727272728e-06, "epoch": 0.08533333333333333, "percentage": 2.82, "elapsed_time": "0:04:46", "remaining_time": "2:44:40"}
7
+ {"current_steps": 7, "total_steps": 213, "loss": 1.5490249395370483, "lr": 2.7272727272727272e-06, "epoch": 0.09955555555555555, "percentage": 3.29, "elapsed_time": "0:05:32", "remaining_time": "2:43:17"}
8
+ {"current_steps": 8, "total_steps": 213, "loss": 1.5317950248718262, "lr": 3.181818181818182e-06, "epoch": 0.11377777777777778, "percentage": 3.76, "elapsed_time": "0:06:20", "remaining_time": "2:42:29"}
9
+ {"current_steps": 9, "total_steps": 213, "loss": 1.5076513290405273, "lr": 3.6363636363636366e-06, "epoch": 0.128, "percentage": 4.23, "elapsed_time": "0:07:08", "remaining_time": "2:41:41"}
10
+ {"current_steps": 10, "total_steps": 213, "loss": 1.4786231517791748, "lr": 4.0909090909090915e-06, "epoch": 0.14222222222222222, "percentage": 4.69, "elapsed_time": "0:07:55", "remaining_time": "2:40:57"}
11
+ {"current_steps": 11, "total_steps": 213, "loss": 1.469682216644287, "lr": 4.5454545454545455e-06, "epoch": 0.15644444444444444, "percentage": 5.16, "elapsed_time": "0:08:43", "remaining_time": "2:40:09"}
12
+ {"current_steps": 12, "total_steps": 213, "loss": 1.4563651084899902, "lr": 5e-06, "epoch": 0.17066666666666666, "percentage": 5.63, "elapsed_time": "0:09:30", "remaining_time": "2:39:13"}
13
+ {"current_steps": 13, "total_steps": 213, "loss": 1.4510159492492676, "lr": 5.4545454545454545e-06, "epoch": 0.18488888888888888, "percentage": 6.1, "elapsed_time": "0:10:17", "remaining_time": "2:38:22"}
14
+ {"current_steps": 14, "total_steps": 213, "loss": 1.440371036529541, "lr": 5.90909090909091e-06, "epoch": 0.1991111111111111, "percentage": 6.57, "elapsed_time": "0:11:04", "remaining_time": "2:37:32"}
15
+ {"current_steps": 15, "total_steps": 213, "loss": 1.4149150848388672, "lr": 6.363636363636364e-06, "epoch": 0.21333333333333335, "percentage": 7.04, "elapsed_time": "0:11:52", "remaining_time": "2:36:50"}
16
+ {"current_steps": 16, "total_steps": 213, "loss": 1.3951767683029175, "lr": 6.818181818181818e-06, "epoch": 0.22755555555555557, "percentage": 7.51, "elapsed_time": "0:12:40", "remaining_time": "2:36:02"}
17
+ {"current_steps": 17, "total_steps": 213, "loss": 1.3866009712219238, "lr": 7.272727272727273e-06, "epoch": 0.24177777777777779, "percentage": 7.98, "elapsed_time": "0:13:27", "remaining_time": "2:35:13"}
18
+ {"current_steps": 18, "total_steps": 213, "loss": 1.3851287364959717, "lr": 7.727272727272727e-06, "epoch": 0.256, "percentage": 8.45, "elapsed_time": "0:14:15", "remaining_time": "2:34:26"}
19
+ {"current_steps": 19, "total_steps": 213, "loss": 1.3660919666290283, "lr": 8.181818181818183e-06, "epoch": 0.2702222222222222, "percentage": 8.92, "elapsed_time": "0:15:02", "remaining_time": "2:33:34"}
20
+ {"current_steps": 20, "total_steps": 213, "loss": 1.3991025686264038, "lr": 8.636363636363637e-06, "epoch": 0.28444444444444444, "percentage": 9.39, "elapsed_time": "0:15:50", "remaining_time": "2:32:50"}
21
+ {"current_steps": 21, "total_steps": 213, "loss": 1.3563741445541382, "lr": 9.090909090909091e-06, "epoch": 0.2986666666666667, "percentage": 9.86, "elapsed_time": "0:16:37", "remaining_time": "2:32:03"}
22
+ {"current_steps": 22, "total_steps": 213, "loss": 1.3432800769805908, "lr": 9.545454545454547e-06, "epoch": 0.3128888888888889, "percentage": 10.33, "elapsed_time": "0:17:24", "remaining_time": "2:31:09"}
23
+ {"current_steps": 23, "total_steps": 213, "loss": 1.3540418148040771, "lr": 1e-05, "epoch": 0.32711111111111113, "percentage": 10.8, "elapsed_time": "0:18:12", "remaining_time": "2:30:21"}
24
+ {"current_steps": 24, "total_steps": 213, "loss": 1.3571672439575195, "lr": 9.999323662872998e-06, "epoch": 0.3413333333333333, "percentage": 11.27, "elapsed_time": "0:18:59", "remaining_time": "2:29:34"}
25
+ {"current_steps": 25, "total_steps": 213, "loss": 1.3181281089782715, "lr": 9.99729483446475e-06, "epoch": 0.35555555555555557, "percentage": 11.74, "elapsed_time": "0:19:47", "remaining_time": "2:28:46"}
26
+ {"current_steps": 26, "total_steps": 213, "loss": 1.3311502933502197, "lr": 9.993914063644053e-06, "epoch": 0.36977777777777776, "percentage": 12.21, "elapsed_time": "0:20:34", "remaining_time": "2:28:02"}
27
+ {"current_steps": 27, "total_steps": 213, "loss": 1.3282787799835205, "lr": 9.989182265027232e-06, "epoch": 0.384, "percentage": 12.68, "elapsed_time": "0:21:23", "remaining_time": "2:27:19"}
28
+ {"current_steps": 28, "total_steps": 213, "loss": 1.325502872467041, "lr": 9.98310071873072e-06, "epoch": 0.3982222222222222, "percentage": 13.15, "elapsed_time": "0:22:09", "remaining_time": "2:26:27"}
29
+ {"current_steps": 29, "total_steps": 213, "loss": 1.3453574180603027, "lr": 9.975671070024741e-06, "epoch": 0.41244444444444445, "percentage": 13.62, "elapsed_time": "0:22:58", "remaining_time": "2:25:44"}
30
+ {"current_steps": 30, "total_steps": 213, "loss": 1.3257673978805542, "lr": 9.966895328888195e-06, "epoch": 0.4266666666666667, "percentage": 14.08, "elapsed_time": "0:23:45", "remaining_time": "2:24:56"}
31
+ {"current_steps": 31, "total_steps": 213, "loss": 1.317690372467041, "lr": 9.956775869464901e-06, "epoch": 0.4408888888888889, "percentage": 14.55, "elapsed_time": "0:24:33", "remaining_time": "2:24:11"}
32
+ {"current_steps": 32, "total_steps": 213, "loss": 1.3243460655212402, "lr": 9.945315429421307e-06, "epoch": 0.45511111111111113, "percentage": 15.02, "elapsed_time": "0:25:20", "remaining_time": "2:23:20"}
33
+ {"current_steps": 33, "total_steps": 213, "loss": 1.3194491863250732, "lr": 9.932517109205849e-06, "epoch": 0.4693333333333333, "percentage": 15.49, "elapsed_time": "0:26:08", "remaining_time": "2:22:34"}
34
+ {"current_steps": 34, "total_steps": 213, "loss": 1.3047914505004883, "lr": 9.918384371210178e-06, "epoch": 0.48355555555555557, "percentage": 15.96, "elapsed_time": "0:26:55", "remaining_time": "2:21:46"}
35
+ {"current_steps": 35, "total_steps": 213, "loss": 1.2955162525177002, "lr": 9.902921038832456e-06, "epoch": 0.49777777777777776, "percentage": 16.43, "elapsed_time": "0:27:43", "remaining_time": "2:20:59"}
36
+ {"current_steps": 36, "total_steps": 213, "loss": 1.3118610382080078, "lr": 9.886131295443003e-06, "epoch": 0.512, "percentage": 16.9, "elapsed_time": "0:28:31", "remaining_time": "2:20:13"}
37
+ {"current_steps": 37, "total_steps": 213, "loss": 1.302067518234253, "lr": 9.868019683252543e-06, "epoch": 0.5262222222222223, "percentage": 17.37, "elapsed_time": "0:29:18", "remaining_time": "2:19:26"}
38
+ {"current_steps": 38, "total_steps": 213, "loss": 1.2789689302444458, "lr": 9.848591102083375e-06, "epoch": 0.5404444444444444, "percentage": 17.84, "elapsed_time": "0:30:06", "remaining_time": "2:18:38"}
39
+ {"current_steps": 39, "total_steps": 213, "loss": 1.2827372550964355, "lr": 9.82785080804381e-06, "epoch": 0.5546666666666666, "percentage": 18.31, "elapsed_time": "0:30:54", "remaining_time": "2:17:54"}
40
+ {"current_steps": 40, "total_steps": 213, "loss": 1.2863564491271973, "lr": 9.805804412106197e-06, "epoch": 0.5688888888888889, "percentage": 18.78, "elapsed_time": "0:31:42", "remaining_time": "2:17:07"}
41
+ {"current_steps": 41, "total_steps": 213, "loss": 1.2768702507019043, "lr": 9.782457878588977e-06, "epoch": 0.5831111111111111, "percentage": 19.25, "elapsed_time": "0:32:30", "remaining_time": "2:16:22"}
42
+ {"current_steps": 42, "total_steps": 213, "loss": 1.2826354503631592, "lr": 9.75781752354311e-06, "epoch": 0.5973333333333334, "percentage": 19.72, "elapsed_time": "0:33:18", "remaining_time": "2:15:37"}
43
+ {"current_steps": 43, "total_steps": 213, "loss": 1.275444746017456, "lr": 9.731890013043367e-06, "epoch": 0.6115555555555555, "percentage": 20.19, "elapsed_time": "0:34:05", "remaining_time": "2:14:48"}
44
+ {"current_steps": 44, "total_steps": 213, "loss": 1.2660303115844727, "lr": 9.704682361384941e-06, "epoch": 0.6257777777777778, "percentage": 20.66, "elapsed_time": "0:34:52", "remaining_time": "2:13:58"}
45
+ {"current_steps": 45, "total_steps": 213, "loss": 1.2627251148223877, "lr": 9.676201929185809e-06, "epoch": 0.64, "percentage": 21.13, "elapsed_time": "0:35:40", "remaining_time": "2:13:10"}
46
+ {"current_steps": 46, "total_steps": 213, "loss": 1.2888470888137817, "lr": 9.646456421395447e-06, "epoch": 0.6542222222222223, "percentage": 21.6, "elapsed_time": "0:36:28", "remaining_time": "2:12:24"}
47
+ {"current_steps": 47, "total_steps": 213, "loss": 1.2826390266418457, "lr": 9.615453885210368e-06, "epoch": 0.6684444444444444, "percentage": 22.07, "elapsed_time": "0:37:16", "remaining_time": "2:11:38"}
48
+ {"current_steps": 48, "total_steps": 213, "loss": 1.2571580410003662, "lr": 9.583202707897075e-06, "epoch": 0.6826666666666666, "percentage": 22.54, "elapsed_time": "0:38:03", "remaining_time": "2:10:49"}
49
+ {"current_steps": 49, "total_steps": 213, "loss": 1.2616808414459229, "lr": 9.549711614523007e-06, "epoch": 0.6968888888888889, "percentage": 23.0, "elapsed_time": "0:38:50", "remaining_time": "2:10:00"}
50
+ {"current_steps": 50, "total_steps": 213, "loss": 1.263854742050171, "lr": 9.514989665596114e-06, "epoch": 0.7111111111111111, "percentage": 23.47, "elapsed_time": "0:39:38", "remaining_time": "2:09:14"}
51
+ {"current_steps": 50, "total_steps": 213, "eval_loss": 1.248613715171814, "epoch": 0.7111111111111111, "percentage": 23.47, "elapsed_time": "0:40:34", "remaining_time": "2:12:15"}
52
+ {"current_steps": 51, "total_steps": 213, "loss": 1.279876947402954, "lr": 9.479046254613673e-06, "epoch": 0.7253333333333334, "percentage": 23.94, "elapsed_time": "0:41:22", "remaining_time": "2:11:25"}
53
+ {"current_steps": 52, "total_steps": 213, "loss": 1.2600014209747314, "lr": 9.441891105521005e-06, "epoch": 0.7395555555555555, "percentage": 24.41, "elapsed_time": "0:42:10", "remaining_time": "2:10:34"}
54
+ {"current_steps": 53, "total_steps": 213, "loss": 1.2702335119247437, "lr": 9.40353427008083e-06, "epoch": 0.7537777777777778, "percentage": 24.88, "elapsed_time": "0:42:58", "remaining_time": "2:09:43"}
55
+ {"current_steps": 54, "total_steps": 213, "loss": 1.2441630363464355, "lr": 9.3639861251539e-06, "epoch": 0.768, "percentage": 25.35, "elapsed_time": "0:43:46", "remaining_time": "2:08:52"}
56
+ {"current_steps": 55, "total_steps": 213, "loss": 1.2441895008087158, "lr": 9.323257369891702e-06, "epoch": 0.7822222222222223, "percentage": 25.82, "elapsed_time": "0:44:33", "remaining_time": "2:08:00"}
57
+ {"current_steps": 56, "total_steps": 213, "loss": 1.255817174911499, "lr": 9.281359022841966e-06, "epoch": 0.7964444444444444, "percentage": 26.29, "elapsed_time": "0:45:21", "remaining_time": "2:07:11"}
58
+ {"current_steps": 57, "total_steps": 213, "loss": 1.2536640167236328, "lr": 9.238302418967757e-06, "epoch": 0.8106666666666666, "percentage": 26.76, "elapsed_time": "0:46:09", "remaining_time": "2:06:18"}
59
+ {"current_steps": 58, "total_steps": 213, "loss": 1.2499892711639404, "lr": 9.194099206580981e-06, "epoch": 0.8248888888888889, "percentage": 27.23, "elapsed_time": "0:46:56", "remaining_time": "2:05:26"}
60
+ {"current_steps": 59, "total_steps": 213, "loss": 1.248606562614441, "lr": 9.14876134419111e-06, "epoch": 0.8391111111111111, "percentage": 27.7, "elapsed_time": "0:47:43", "remaining_time": "2:04:34"}
61
+ {"current_steps": 60, "total_steps": 213, "loss": 1.247856616973877, "lr": 9.102301097269974e-06, "epoch": 0.8533333333333334, "percentage": 28.17, "elapsed_time": "0:48:30", "remaining_time": "2:03:42"}
62
+ {"current_steps": 61, "total_steps": 213, "loss": 1.257920742034912, "lr": 9.05473103493355e-06, "epoch": 0.8675555555555555, "percentage": 28.64, "elapsed_time": "0:49:18", "remaining_time": "2:02:51"}
63
+ {"current_steps": 62, "total_steps": 213, "loss": 1.2761049270629883, "lr": 9.006064026541549e-06, "epoch": 0.8817777777777778, "percentage": 29.11, "elapsed_time": "0:50:05", "remaining_time": "2:02:00"}
64
+ {"current_steps": 63, "total_steps": 213, "loss": 1.245169997215271, "lr": 8.956313238215824e-06, "epoch": 0.896, "percentage": 29.58, "elapsed_time": "0:50:53", "remaining_time": "2:01:11"}
65
+ {"current_steps": 64, "total_steps": 213, "loss": 1.234323263168335, "lr": 8.905492129278478e-06, "epoch": 0.9102222222222223, "percentage": 30.05, "elapsed_time": "0:51:41", "remaining_time": "2:00:20"}
66
+ {"current_steps": 65, "total_steps": 213, "loss": 1.2250256538391113, "lr": 8.85361444861063e-06, "epoch": 0.9244444444444444, "percentage": 30.52, "elapsed_time": "0:52:28", "remaining_time": "1:59:29"}
67
+ {"current_steps": 66, "total_steps": 213, "loss": 1.2339348793029785, "lr": 8.800694230932885e-06, "epoch": 0.9386666666666666, "percentage": 30.99, "elapsed_time": "0:53:16", "remaining_time": "1:58:39"}
68
+ {"current_steps": 67, "total_steps": 213, "loss": 1.252026081085205, "lr": 8.74674579300843e-06, "epoch": 0.9528888888888889, "percentage": 31.46, "elapsed_time": "0:54:03", "remaining_time": "1:57:48"}
69
+ {"current_steps": 68, "total_steps": 213, "loss": 1.2473349571228027, "lr": 8.691783729769874e-06, "epoch": 0.9671111111111111, "percentage": 31.92, "elapsed_time": "0:54:50", "remaining_time": "1:56:56"}
70
+ {"current_steps": 69, "total_steps": 213, "loss": 1.2227911949157715, "lr": 8.635822910370793e-06, "epoch": 0.9813333333333333, "percentage": 32.39, "elapsed_time": "0:55:38", "remaining_time": "1:56:08"}
71
+ {"current_steps": 70, "total_steps": 213, "loss": 1.2343428134918213, "lr": 8.578878474163115e-06, "epoch": 0.9955555555555555, "percentage": 32.86, "elapsed_time": "0:56:26", "remaining_time": "1:55:18"}
72
+ {"current_steps": 71, "total_steps": 213, "loss": 1.2428948879241943, "lr": 8.520965826601394e-06, "epoch": 1.0, "percentage": 33.33, "elapsed_time": "0:56:41", "remaining_time": "1:53:22"}
73
+ {"current_steps": 72, "total_steps": 213, "loss": 1.202027440071106, "lr": 8.462100635075097e-06, "epoch": 1.0142222222222221, "percentage": 33.8, "elapsed_time": "0:58:21", "remaining_time": "1:54:17"}
74
+ {"current_steps": 73, "total_steps": 213, "loss": 1.2224020957946777, "lr": 8.40229882467003e-06, "epoch": 1.0284444444444445, "percentage": 34.27, "elapsed_time": "0:59:08", "remaining_time": "1:53:26"}
75
+ {"current_steps": 74, "total_steps": 213, "loss": 1.2196844816207886, "lr": 8.341576573860049e-06, "epoch": 1.0426666666666666, "percentage": 34.74, "elapsed_time": "0:59:56", "remaining_time": "1:52:35"}
76
+ {"current_steps": 75, "total_steps": 213, "loss": 1.2222049236297607, "lr": 8.279950310130218e-06, "epoch": 1.056888888888889, "percentage": 35.21, "elapsed_time": "1:00:43", "remaining_time": "1:51:44"}
77
+ {"current_steps": 76, "total_steps": 213, "loss": 1.2127679586410522, "lr": 8.2174367055326e-06, "epoch": 1.0711111111111111, "percentage": 35.68, "elapsed_time": "1:01:31", "remaining_time": "1:50:53"}
78
+ {"current_steps": 77, "total_steps": 213, "loss": 1.1962798833847046, "lr": 8.154052672175888e-06, "epoch": 1.0853333333333333, "percentage": 36.15, "elapsed_time": "1:02:18", "remaining_time": "1:50:03"}
79
+ {"current_steps": 78, "total_steps": 213, "loss": 1.192876935005188, "lr": 8.08981535765009e-06, "epoch": 1.0995555555555556, "percentage": 36.62, "elapsed_time": "1:03:06", "remaining_time": "1:49:13"}
80
+ {"current_steps": 79, "total_steps": 213, "loss": 1.204209566116333, "lr": 8.024742140387506e-06, "epoch": 1.1137777777777778, "percentage": 37.09, "elapsed_time": "1:03:53", "remaining_time": "1:48:22"}
81
+ {"current_steps": 80, "total_steps": 213, "loss": 1.2061021327972412, "lr": 7.95885062496126e-06, "epoch": 1.1280000000000001, "percentage": 37.56, "elapsed_time": "1:04:41", "remaining_time": "1:47:32"}
82
+ {"current_steps": 81, "total_steps": 213, "loss": 1.2074682712554932, "lr": 7.892158637322647e-06, "epoch": 1.1422222222222222, "percentage": 38.03, "elapsed_time": "1:05:28", "remaining_time": "1:46:42"}
83
+ {"current_steps": 82, "total_steps": 213, "loss": 1.1797451972961426, "lr": 7.824684219978591e-06, "epoch": 1.1564444444444444, "percentage": 38.5, "elapsed_time": "1:06:15", "remaining_time": "1:45:50"}
84
+ {"current_steps": 83, "total_steps": 213, "loss": 1.2151604890823364, "lr": 7.756445627110523e-06, "epoch": 1.1706666666666667, "percentage": 38.97, "elapsed_time": "1:07:02", "remaining_time": "1:45:00"}
85
+ {"current_steps": 84, "total_steps": 213, "loss": 1.1917520761489868, "lr": 7.68746131963598e-06, "epoch": 1.1848888888888889, "percentage": 39.44, "elapsed_time": "1:07:49", "remaining_time": "1:44:10"}
86
+ {"current_steps": 85, "total_steps": 213, "loss": 1.1966304779052734, "lr": 7.6177499602143e-06, "epoch": 1.199111111111111, "percentage": 39.91, "elapsed_time": "1:08:36", "remaining_time": "1:43:19"}
87
+ {"current_steps": 86, "total_steps": 213, "loss": 1.2256059646606445, "lr": 7.547330408197695e-06, "epoch": 1.2133333333333334, "percentage": 40.38, "elapsed_time": "1:09:24", "remaining_time": "1:42:30"}
88
+ {"current_steps": 87, "total_steps": 213, "loss": 1.1984763145446777, "lr": 7.476221714529167e-06, "epoch": 1.2275555555555555, "percentage": 40.85, "elapsed_time": "1:10:12", "remaining_time": "1:41:40"}
89
+ {"current_steps": 88, "total_steps": 213, "loss": 1.1815118789672852, "lr": 7.404443116588548e-06, "epoch": 1.2417777777777779, "percentage": 41.31, "elapsed_time": "1:10:59", "remaining_time": "1:40:50"}
90
+ {"current_steps": 89, "total_steps": 213, "loss": 1.1813948154449463, "lr": 7.332014032988123e-06, "epoch": 1.256, "percentage": 41.78, "elapsed_time": "1:11:47", "remaining_time": "1:40:01"}
91
+ {"current_steps": 90, "total_steps": 213, "loss": 1.2083604335784912, "lr": 7.2589540583192165e-06, "epoch": 1.2702222222222221, "percentage": 42.25, "elapsed_time": "1:12:34", "remaining_time": "1:39:11"}
92
+ {"current_steps": 91, "total_steps": 213, "loss": 1.2008360624313354, "lr": 7.185282957851175e-06, "epoch": 1.2844444444444445, "percentage": 42.72, "elapsed_time": "1:13:21", "remaining_time": "1:38:21"}
93
+ {"current_steps": 92, "total_steps": 213, "loss": 1.1902484893798828, "lr": 7.111020662184174e-06, "epoch": 1.2986666666666666, "percentage": 43.19, "elapsed_time": "1:14:09", "remaining_time": "1:37:31"}
94
+ {"current_steps": 93, "total_steps": 213, "loss": 1.1865317821502686, "lr": 7.036187261857289e-06, "epoch": 1.3128888888888888, "percentage": 43.66, "elapsed_time": "1:14:56", "remaining_time": "1:36:41"}
95
+ {"current_steps": 94, "total_steps": 213, "loss": 1.1860058307647705, "lr": 6.960803001913315e-06, "epoch": 1.3271111111111111, "percentage": 44.13, "elapsed_time": "1:15:44", "remaining_time": "1:35:52"}
96
+ {"current_steps": 95, "total_steps": 213, "loss": 1.1842578649520874, "lr": 6.884888276421766e-06, "epoch": 1.3413333333333333, "percentage": 44.6, "elapsed_time": "1:16:31", "remaining_time": "1:35:03"}
97
+ {"current_steps": 96, "total_steps": 213, "loss": 1.1814080476760864, "lr": 6.8084636229615786e-06, "epoch": 1.3555555555555556, "percentage": 45.07, "elapsed_time": "1:17:20", "remaining_time": "1:34:15"}
98
+ {"current_steps": 97, "total_steps": 213, "loss": 1.193676233291626, "lr": 6.731549717064975e-06, "epoch": 1.3697777777777778, "percentage": 45.54, "elapsed_time": "1:18:07", "remaining_time": "1:33:25"}
99
+ {"current_steps": 98, "total_steps": 213, "loss": 1.2141278982162476, "lr": 6.654167366624009e-06, "epoch": 1.384, "percentage": 46.01, "elapsed_time": "1:18:55", "remaining_time": "1:32:36"}
100
+ {"current_steps": 99, "total_steps": 213, "loss": 1.1865811347961426, "lr": 6.576337506261314e-06, "epoch": 1.3982222222222223, "percentage": 46.48, "elapsed_time": "1:19:43", "remaining_time": "1:31:47"}
101
+ {"current_steps": 100, "total_steps": 213, "loss": 1.1954832077026367, "lr": 6.498081191666549e-06, "epoch": 1.4124444444444444, "percentage": 46.95, "elapsed_time": "1:20:31", "remaining_time": "1:30:59"}
102
+ {"current_steps": 100, "total_steps": 213, "eval_loss": 1.1988927125930786, "epoch": 1.4124444444444444, "percentage": 46.95, "elapsed_time": "1:20:42", "remaining_time": "1:31:12"}
103
+ {"current_steps": 101, "total_steps": 213, "loss": 1.1804523468017578, "lr": 6.419419593900109e-06, "epoch": 1.4266666666666667, "percentage": 47.42, "elapsed_time": "1:21:30", "remaining_time": "1:30:22"}
104
+ {"current_steps": 102, "total_steps": 213, "loss": 1.2068874835968018, "lr": 6.340373993665607e-06, "epoch": 1.4408888888888889, "percentage": 47.89, "elapsed_time": "1:22:17", "remaining_time": "1:29:33"}
105
+ {"current_steps": 103, "total_steps": 213, "loss": 1.1804969310760498, "lr": 6.2609657755527135e-06, "epoch": 1.455111111111111, "percentage": 48.36, "elapsed_time": "1:23:05", "remaining_time": "1:28:43"}
106
+ {"current_steps": 104, "total_steps": 213, "loss": 1.1953659057617188, "lr": 6.1812164222518626e-06, "epoch": 1.4693333333333334, "percentage": 48.83, "elapsed_time": "1:23:53", "remaining_time": "1:27:55"}
107
+ {"current_steps": 105, "total_steps": 213, "loss": 1.1933740377426147, "lr": 6.101147508742456e-06, "epoch": 1.4835555555555555, "percentage": 49.3, "elapsed_time": "1:24:41", "remaining_time": "1:27:06"}
108
+ {"current_steps": 106, "total_steps": 213, "loss": 1.201953411102295, "lr": 6.020780696456059e-06, "epoch": 1.4977777777777779, "percentage": 49.77, "elapsed_time": "1:25:28", "remaining_time": "1:26:16"}
109
+ {"current_steps": 107, "total_steps": 213, "loss": 1.1897786855697632, "lr": 5.940137727416247e-06, "epoch": 1.512, "percentage": 50.23, "elapsed_time": "1:26:16", "remaining_time": "1:25:27"}
110
+ {"current_steps": 108, "total_steps": 213, "loss": 1.1798899173736572, "lr": 5.859240418356614e-06, "epoch": 1.5262222222222221, "percentage": 50.7, "elapsed_time": "1:27:03", "remaining_time": "1:24:38"}
111
+ {"current_steps": 109, "total_steps": 213, "loss": 1.1853947639465332, "lr": 5.778110654818602e-06, "epoch": 1.5404444444444443, "percentage": 51.17, "elapsed_time": "1:27:52", "remaining_time": "1:23:50"}
112
+ {"current_steps": 110, "total_steps": 213, "loss": 1.1760761737823486, "lr": 5.696770385230679e-06, "epoch": 1.5546666666666666, "percentage": 51.64, "elapsed_time": "1:28:39", "remaining_time": "1:23:00"}
113
+ {"current_steps": 111, "total_steps": 213, "loss": 1.1980795860290527, "lr": 5.615241614970546e-06, "epoch": 1.568888888888889, "percentage": 52.11, "elapsed_time": "1:29:26", "remaining_time": "1:22:11"}
114
+ {"current_steps": 112, "total_steps": 213, "loss": 1.1878252029418945, "lr": 5.533546400411899e-06, "epoch": 1.5831111111111111, "percentage": 52.58, "elapsed_time": "1:30:14", "remaining_time": "1:21:22"}
115
+ {"current_steps": 113, "total_steps": 213, "loss": 1.1891889572143555, "lr": 5.4517068429574215e-06, "epoch": 1.5973333333333333, "percentage": 53.05, "elapsed_time": "1:31:02", "remaining_time": "1:20:33"}
116
+ {"current_steps": 114, "total_steps": 213, "loss": 1.1935696601867676, "lr": 5.3697450830595775e-06, "epoch": 1.6115555555555554, "percentage": 53.52, "elapsed_time": "1:31:49", "remaining_time": "1:19:44"}
117
+ {"current_steps": 115, "total_steps": 213, "loss": 1.1648902893066406, "lr": 5.287683294230855e-06, "epoch": 1.6257777777777778, "percentage": 53.99, "elapsed_time": "1:32:36", "remaining_time": "1:18:54"}
118
+ {"current_steps": 116, "total_steps": 213, "loss": 1.1749862432479858, "lr": 5.20554367704505e-06, "epoch": 1.6400000000000001, "percentage": 54.46, "elapsed_time": "1:33:23", "remaining_time": "1:18:05"}
119
+ {"current_steps": 117, "total_steps": 213, "loss": 1.200908899307251, "lr": 5.123348453131242e-06, "epoch": 1.6542222222222223, "percentage": 54.93, "elapsed_time": "1:34:12", "remaining_time": "1:17:17"}
120
+ {"current_steps": 118, "total_steps": 213, "loss": 1.189719796180725, "lr": 5.041119859162068e-06, "epoch": 1.6684444444444444, "percentage": 55.4, "elapsed_time": "1:34:59", "remaining_time": "1:16:28"}
121
+ {"current_steps": 119, "total_steps": 213, "loss": 1.1798235177993774, "lr": 4.958880140837934e-06, "epoch": 1.6826666666666665, "percentage": 55.87, "elapsed_time": "1:35:47", "remaining_time": "1:15:40"}
122
+ {"current_steps": 120, "total_steps": 213, "loss": 1.166198492050171, "lr": 4.876651546868759e-06, "epoch": 1.696888888888889, "percentage": 56.34, "elapsed_time": "1:36:34", "remaining_time": "1:14:50"}
123
+ {"current_steps": 121, "total_steps": 213, "loss": 1.1802079677581787, "lr": 4.794456322954953e-06, "epoch": 1.7111111111111112, "percentage": 56.81, "elapsed_time": "1:37:22", "remaining_time": "1:14:02"}
124
+ {"current_steps": 122, "total_steps": 213, "loss": 1.1807469129562378, "lr": 4.7123167057691446e-06, "epoch": 1.7253333333333334, "percentage": 57.28, "elapsed_time": "1:38:10", "remaining_time": "1:13:13"}
125
+ {"current_steps": 123, "total_steps": 213, "loss": 1.1979055404663086, "lr": 4.630254916940424e-06, "epoch": 1.7395555555555555, "percentage": 57.75, "elapsed_time": "1:38:57", "remaining_time": "1:12:24"}
126
+ {"current_steps": 124, "total_steps": 213, "loss": 1.192582130432129, "lr": 4.548293157042581e-06, "epoch": 1.7537777777777777, "percentage": 58.22, "elapsed_time": "1:39:45", "remaining_time": "1:11:36"}
127
+ {"current_steps": 125, "total_steps": 213, "loss": 1.1831550598144531, "lr": 4.466453599588103e-06, "epoch": 1.768, "percentage": 58.69, "elapsed_time": "1:40:33", "remaining_time": "1:10:47"}
128
+ {"current_steps": 126, "total_steps": 213, "loss": 1.1674884557724, "lr": 4.384758385029457e-06, "epoch": 1.7822222222222224, "percentage": 59.15, "elapsed_time": "1:41:20", "remaining_time": "1:09:58"}
129
+ {"current_steps": 127, "total_steps": 213, "loss": 1.181553602218628, "lr": 4.3032296147693225e-06, "epoch": 1.7964444444444445, "percentage": 59.62, "elapsed_time": "1:42:08", "remaining_time": "1:09:10"}
130
+ {"current_steps": 128, "total_steps": 213, "loss": 1.153355360031128, "lr": 4.2218893451814005e-06, "epoch": 1.8106666666666666, "percentage": 60.09, "elapsed_time": "1:42:55", "remaining_time": "1:08:20"}
131
+ {"current_steps": 129, "total_steps": 213, "loss": 1.1762878894805908, "lr": 4.140759581643386e-06, "epoch": 1.8248888888888888, "percentage": 60.56, "elapsed_time": "1:43:42", "remaining_time": "1:07:32"}
132
+ {"current_steps": 130, "total_steps": 213, "loss": 1.1792393922805786, "lr": 4.059862272583755e-06, "epoch": 1.8391111111111111, "percentage": 61.03, "elapsed_time": "1:44:30", "remaining_time": "1:06:43"}
133
+ {"current_steps": 131, "total_steps": 213, "loss": 1.1686198711395264, "lr": 3.979219303543942e-06, "epoch": 1.8533333333333335, "percentage": 61.5, "elapsed_time": "1:45:18", "remaining_time": "1:05:54"}
134
+ {"current_steps": 132, "total_steps": 213, "loss": 1.179172396659851, "lr": 3.898852491257547e-06, "epoch": 1.8675555555555556, "percentage": 61.97, "elapsed_time": "1:46:06", "remaining_time": "1:05:06"}
135
+ {"current_steps": 133, "total_steps": 213, "loss": 1.1667160987854004, "lr": 3.818783577748138e-06, "epoch": 1.8817777777777778, "percentage": 62.44, "elapsed_time": "1:46:53", "remaining_time": "1:04:17"}
136
+ {"current_steps": 134, "total_steps": 213, "loss": 1.1844608783721924, "lr": 3.7390342244472886e-06, "epoch": 1.896, "percentage": 62.91, "elapsed_time": "1:47:41", "remaining_time": "1:03:29"}
137
+ {"current_steps": 135, "total_steps": 213, "loss": 1.1989758014678955, "lr": 3.659626006334395e-06, "epoch": 1.9102222222222223, "percentage": 63.38, "elapsed_time": "1:48:28", "remaining_time": "1:02:40"}
138
+ {"current_steps": 136, "total_steps": 213, "loss": 1.1868371963500977, "lr": 3.5805804060998926e-06, "epoch": 1.9244444444444444, "percentage": 63.85, "elapsed_time": "1:49:16", "remaining_time": "1:01:52"}
139
+ {"current_steps": 137, "total_steps": 213, "loss": 1.166593313217163, "lr": 3.501918808333453e-06, "epoch": 1.9386666666666668, "percentage": 64.32, "elapsed_time": "1:50:04", "remaining_time": "1:01:03"}
140
+ {"current_steps": 138, "total_steps": 213, "loss": 1.1770471334457397, "lr": 3.4236624937386874e-06, "epoch": 1.952888888888889, "percentage": 64.79, "elapsed_time": "1:50:51", "remaining_time": "1:00:15"}
141
+ {"current_steps": 139, "total_steps": 213, "loss": 1.1796729564666748, "lr": 3.3458326333759927e-06, "epoch": 1.967111111111111, "percentage": 65.26, "elapsed_time": "1:51:39", "remaining_time": "0:59:26"}
142
+ {"current_steps": 140, "total_steps": 213, "loss": 1.1624293327331543, "lr": 3.268450282935026e-06, "epoch": 1.9813333333333332, "percentage": 65.73, "elapsed_time": "1:52:25", "remaining_time": "0:58:37"}
143
+ {"current_steps": 141, "total_steps": 213, "loss": 1.1687278747558594, "lr": 3.1915363770384223e-06, "epoch": 1.9955555555555555, "percentage": 66.2, "elapsed_time": "1:53:13", "remaining_time": "0:57:49"}
144
+ {"current_steps": 142, "total_steps": 213, "loss": 1.1975963115692139, "lr": 3.1151117235782346e-06, "epoch": 2.0, "percentage": 66.67, "elapsed_time": "1:53:28", "remaining_time": "0:56:44"}
145
+ {"current_steps": 143, "total_steps": 213, "loss": 1.1713850498199463, "lr": 3.0391969980866874e-06, "epoch": 2.014222222222222, "percentage": 67.14, "elapsed_time": "1:55:07", "remaining_time": "0:56:21"}
146
+ {"current_steps": 144, "total_steps": 213, "loss": 1.1817915439605713, "lr": 2.963812738142713e-06, "epoch": 2.0284444444444443, "percentage": 67.61, "elapsed_time": "1:55:54", "remaining_time": "0:55:32"}
147
+ {"current_steps": 145, "total_steps": 213, "loss": 1.1671693325042725, "lr": 2.8889793378158284e-06, "epoch": 2.042666666666667, "percentage": 68.08, "elapsed_time": "1:56:43", "remaining_time": "0:54:44"}
148
+ {"current_steps": 146, "total_steps": 213, "loss": 1.1553094387054443, "lr": 2.814717042148827e-06, "epoch": 2.056888888888889, "percentage": 68.54, "elapsed_time": "1:57:30", "remaining_time": "0:53:55"}
149
+ {"current_steps": 147, "total_steps": 213, "loss": 1.1611030101776123, "lr": 2.7410459416807856e-06, "epoch": 2.071111111111111, "percentage": 69.01, "elapsed_time": "1:58:18", "remaining_time": "0:53:06"}
150
+ {"current_steps": 148, "total_steps": 213, "loss": 1.169109582901001, "lr": 2.6679859670118785e-06, "epoch": 2.0853333333333333, "percentage": 69.48, "elapsed_time": "1:59:04", "remaining_time": "0:52:17"}
151
+ {"current_steps": 149, "total_steps": 213, "loss": 1.1539714336395264, "lr": 2.5955568834114523e-06, "epoch": 2.0995555555555554, "percentage": 69.95, "elapsed_time": "1:59:52", "remaining_time": "0:51:29"}
152
+ {"current_steps": 150, "total_steps": 213, "loss": 1.1314873695373535, "lr": 2.523778285470835e-06, "epoch": 2.113777777777778, "percentage": 70.42, "elapsed_time": "2:00:38", "remaining_time": "0:50:40"}
153
+ {"current_steps": 150, "total_steps": 213, "eval_loss": 1.1810542345046997, "epoch": 2.113777777777778, "percentage": 70.42, "elapsed_time": "2:01:55", "remaining_time": "0:51:12"}
154
+ {"current_steps": 151, "total_steps": 213, "loss": 1.1695539951324463, "lr": 2.452669591802307e-06, "epoch": 2.128, "percentage": 70.89, "elapsed_time": "2:02:43", "remaining_time": "0:50:23"}
155
+ {"current_steps": 152, "total_steps": 213, "loss": 1.1494641304016113, "lr": 2.3822500397857016e-06, "epoch": 2.1422222222222222, "percentage": 71.36, "elapsed_time": "2:03:31", "remaining_time": "0:49:34"}
156
+ {"current_steps": 153, "total_steps": 213, "loss": 1.1655616760253906, "lr": 2.3125386803640188e-06, "epoch": 2.1564444444444444, "percentage": 71.83, "elapsed_time": "2:04:19", "remaining_time": "0:48:45"}
157
+ {"current_steps": 154, "total_steps": 213, "loss": 1.1519088745117188, "lr": 2.243554372889479e-06, "epoch": 2.1706666666666665, "percentage": 72.3, "elapsed_time": "2:05:06", "remaining_time": "0:47:55"}
158
+ {"current_steps": 155, "total_steps": 213, "loss": 1.1479674577713013, "lr": 2.1753157800214107e-06, "epoch": 2.1848888888888887, "percentage": 72.77, "elapsed_time": "2:05:53", "remaining_time": "0:47:06"}
159
+ {"current_steps": 156, "total_steps": 213, "loss": 1.1504448652267456, "lr": 2.1078413626773547e-06, "epoch": 2.1991111111111112, "percentage": 73.24, "elapsed_time": "2:06:41", "remaining_time": "0:46:17"}
160
+ {"current_steps": 157, "total_steps": 213, "loss": 1.142012119293213, "lr": 2.0411493750387423e-06, "epoch": 2.2133333333333334, "percentage": 73.71, "elapsed_time": "2:07:28", "remaining_time": "0:45:28"}
161
+ {"current_steps": 158, "total_steps": 213, "loss": 1.1382803916931152, "lr": 1.9752578596124955e-06, "epoch": 2.2275555555555555, "percentage": 74.18, "elapsed_time": "2:08:15", "remaining_time": "0:44:38"}
162
+ {"current_steps": 159, "total_steps": 213, "loss": 1.1602444648742676, "lr": 1.9101846423499113e-06, "epoch": 2.2417777777777776, "percentage": 74.65, "elapsed_time": "2:09:03", "remaining_time": "0:43:49"}
163
+ {"current_steps": 160, "total_steps": 213, "loss": 1.146360158920288, "lr": 1.8459473278241125e-06, "epoch": 2.2560000000000002, "percentage": 75.12, "elapsed_time": "2:09:51", "remaining_time": "0:43:00"}
164
+ {"current_steps": 161, "total_steps": 213, "loss": 1.1420152187347412, "lr": 1.7825632944674016e-06, "epoch": 2.2702222222222224, "percentage": 75.59, "elapsed_time": "2:10:38", "remaining_time": "0:42:11"}
165
+ {"current_steps": 162, "total_steps": 213, "loss": 1.1756829023361206, "lr": 1.7200496898697832e-06, "epoch": 2.2844444444444445, "percentage": 76.06, "elapsed_time": "2:11:26", "remaining_time": "0:41:22"}
166
+ {"current_steps": 163, "total_steps": 213, "loss": 1.1596589088439941, "lr": 1.6584234261399535e-06, "epoch": 2.2986666666666666, "percentage": 76.53, "elapsed_time": "2:12:14", "remaining_time": "0:40:33"}
167
+ {"current_steps": 164, "total_steps": 213, "loss": 1.1395504474639893, "lr": 1.5977011753299726e-06, "epoch": 2.3128888888888888, "percentage": 77.0, "elapsed_time": "2:13:02", "remaining_time": "0:39:44"}
168
+ {"current_steps": 165, "total_steps": 213, "loss": 1.1680355072021484, "lr": 1.5378993649249053e-06, "epoch": 2.327111111111111, "percentage": 77.46, "elapsed_time": "2:13:50", "remaining_time": "0:38:56"}
169
+ {"current_steps": 166, "total_steps": 213, "loss": 1.1566658020019531, "lr": 1.4790341733986085e-06, "epoch": 2.3413333333333335, "percentage": 77.93, "elapsed_time": "2:14:38", "remaining_time": "0:38:07"}
170
+ {"current_steps": 167, "total_steps": 213, "loss": 1.1633788347244263, "lr": 1.4211215258368866e-06, "epoch": 2.3555555555555556, "percentage": 78.4, "elapsed_time": "2:15:25", "remaining_time": "0:37:18"}
171
+ {"current_steps": 168, "total_steps": 213, "loss": 1.1514759063720703, "lr": 1.3641770896292083e-06, "epoch": 2.3697777777777778, "percentage": 78.87, "elapsed_time": "2:16:11", "remaining_time": "0:36:28"}
172
+ {"current_steps": 169, "total_steps": 213, "loss": 1.1515188217163086, "lr": 1.3082162702301276e-06, "epoch": 2.384, "percentage": 79.34, "elapsed_time": "2:16:59", "remaining_time": "0:35:39"}
173
+ {"current_steps": 170, "total_steps": 213, "loss": 1.1591559648513794, "lr": 1.2532542069915722e-06, "epoch": 2.398222222222222, "percentage": 79.81, "elapsed_time": "2:17:46", "remaining_time": "0:34:51"}
174
+ {"current_steps": 171, "total_steps": 213, "loss": 1.1669801473617554, "lr": 1.1993057690671174e-06, "epoch": 2.4124444444444446, "percentage": 80.28, "elapsed_time": "2:18:34", "remaining_time": "0:34:02"}
175
+ {"current_steps": 172, "total_steps": 213, "loss": 1.155794382095337, "lr": 1.1463855513893695e-06, "epoch": 2.4266666666666667, "percentage": 80.75, "elapsed_time": "2:19:21", "remaining_time": "0:33:13"}
176
+ {"current_steps": 173, "total_steps": 213, "loss": 1.1434683799743652, "lr": 1.0945078707215224e-06, "epoch": 2.440888888888889, "percentage": 81.22, "elapsed_time": "2:20:08", "remaining_time": "0:32:24"}
177
+ {"current_steps": 174, "total_steps": 213, "loss": 1.1586582660675049, "lr": 1.0436867617841768e-06, "epoch": 2.455111111111111, "percentage": 81.69, "elapsed_time": "2:20:56", "remaining_time": "0:31:35"}
178
+ {"current_steps": 175, "total_steps": 213, "loss": 1.1643059253692627, "lr": 9.939359734584552e-07, "epoch": 2.469333333333333, "percentage": 82.16, "elapsed_time": "2:21:44", "remaining_time": "0:30:46"}
179
+ {"current_steps": 176, "total_steps": 213, "loss": 1.137399673461914, "lr": 9.452689650664515e-07, "epoch": 2.4835555555555557, "percentage": 82.63, "elapsed_time": "2:22:31", "remaining_time": "0:29:57"}
180
+ {"current_steps": 177, "total_steps": 213, "loss": 1.150512456893921, "lr": 8.976989027300265e-07, "epoch": 2.497777777777778, "percentage": 83.1, "elapsed_time": "2:23:19", "remaining_time": "0:29:09"}
181
+ {"current_steps": 178, "total_steps": 213, "loss": 1.1556127071380615, "lr": 8.512386558088919e-07, "epoch": 2.512, "percentage": 83.57, "elapsed_time": "2:24:06", "remaining_time": "0:28:20"}
182
+ {"current_steps": 179, "total_steps": 213, "loss": 1.1506540775299072, "lr": 8.059007934190194e-07, "epoch": 2.526222222222222, "percentage": 84.04, "elapsed_time": "2:24:53", "remaining_time": "0:27:31"}
183
+ {"current_steps": 180, "total_steps": 213, "loss": 1.1606539487838745, "lr": 7.61697581032243e-07, "epoch": 2.5404444444444443, "percentage": 84.51, "elapsed_time": "2:25:41", "remaining_time": "0:26:42"}
184
+ {"current_steps": 181, "total_steps": 213, "loss": 1.145754098892212, "lr": 7.186409771580355e-07, "epoch": 2.554666666666667, "percentage": 84.98, "elapsed_time": "2:26:28", "remaining_time": "0:25:53"}
185
+ {"current_steps": 182, "total_steps": 213, "loss": 1.1506030559539795, "lr": 6.76742630108298e-07, "epoch": 2.568888888888889, "percentage": 85.45, "elapsed_time": "2:27:15", "remaining_time": "0:25:04"}
186
+ {"current_steps": 183, "total_steps": 213, "loss": 1.1366521120071411, "lr": 6.360138748461015e-07, "epoch": 2.583111111111111, "percentage": 85.92, "elapsed_time": "2:28:02", "remaining_time": "0:24:16"}
187
+ {"current_steps": 184, "total_steps": 213, "loss": 1.1723542213439941, "lr": 5.964657299191712e-07, "epoch": 2.5973333333333333, "percentage": 86.38, "elapsed_time": "2:28:51", "remaining_time": "0:23:27"}
188
+ {"current_steps": 185, "total_steps": 213, "loss": 1.1543989181518555, "lr": 5.581088944789953e-07, "epoch": 2.6115555555555554, "percentage": 86.85, "elapsed_time": "2:29:39", "remaining_time": "0:22:39"}
189
+ {"current_steps": 186, "total_steps": 213, "loss": 1.1481022834777832, "lr": 5.20953745386329e-07, "epoch": 2.6257777777777775, "percentage": 87.32, "elapsed_time": "2:30:27", "remaining_time": "0:21:50"}
190
+ {"current_steps": 187, "total_steps": 213, "loss": 1.1510019302368164, "lr": 4.850103344038853e-07, "epoch": 2.64, "percentage": 87.79, "elapsed_time": "2:31:15", "remaining_time": "0:21:01"}
191
+ {"current_steps": 188, "total_steps": 213, "loss": 1.1454750299453735, "lr": 4.502883854769935e-07, "epoch": 2.6542222222222223, "percentage": 88.26, "elapsed_time": "2:32:02", "remaining_time": "0:20:13"}
192
+ {"current_steps": 189, "total_steps": 213, "loss": 1.1555531024932861, "lr": 4.167972921029262e-07, "epoch": 2.6684444444444444, "percentage": 88.73, "elapsed_time": "2:32:50", "remaining_time": "0:19:24"}
193
+ {"current_steps": 190, "total_steps": 213, "loss": 1.141042709350586, "lr": 3.8454611478963235e-07, "epoch": 2.6826666666666665, "percentage": 89.2, "elapsed_time": "2:33:38", "remaining_time": "0:18:35"}
194
+ {"current_steps": 191, "total_steps": 213, "loss": 1.1597721576690674, "lr": 3.535435786045538e-07, "epoch": 2.696888888888889, "percentage": 89.67, "elapsed_time": "2:34:25", "remaining_time": "0:17:47"}
195
+ {"current_steps": 192, "total_steps": 213, "loss": 1.1370229721069336, "lr": 3.237980708141919e-07, "epoch": 2.7111111111111112, "percentage": 90.14, "elapsed_time": "2:35:12", "remaining_time": "0:16:58"}
196
+ {"current_steps": 193, "total_steps": 213, "loss": 1.1386423110961914, "lr": 2.9531763861505967e-07, "epoch": 2.7253333333333334, "percentage": 90.61, "elapsed_time": "2:36:00", "remaining_time": "0:16:10"}
197
+ {"current_steps": 194, "total_steps": 213, "loss": 1.141430139541626, "lr": 2.681099869566328e-07, "epoch": 2.7395555555555555, "percentage": 91.08, "elapsed_time": "2:36:48", "remaining_time": "0:15:21"}
198
+ {"current_steps": 195, "total_steps": 213, "loss": 1.1269652843475342, "lr": 2.4218247645689306e-07, "epoch": 2.7537777777777777, "percentage": 91.55, "elapsed_time": "2:37:34", "remaining_time": "0:14:32"}
199
+ {"current_steps": 196, "total_steps": 213, "loss": 1.1652940511703491, "lr": 2.175421214110235e-07, "epoch": 2.768, "percentage": 92.02, "elapsed_time": "2:38:22", "remaining_time": "0:13:44"}
200
+ {"current_steps": 197, "total_steps": 213, "loss": 1.1484644412994385, "lr": 1.941955878938029e-07, "epoch": 2.7822222222222224, "percentage": 92.49, "elapsed_time": "2:39:09", "remaining_time": "0:12:55"}
201
+ {"current_steps": 198, "total_steps": 213, "loss": 1.1459333896636963, "lr": 1.721491919561913e-07, "epoch": 2.7964444444444445, "percentage": 92.96, "elapsed_time": "2:39:56", "remaining_time": "0:12:07"}
202
+ {"current_steps": 199, "total_steps": 213, "loss": 1.157778024673462, "lr": 1.514088979166256e-07, "epoch": 2.8106666666666666, "percentage": 93.43, "elapsed_time": "2:40:43", "remaining_time": "0:11:18"}
203
+ {"current_steps": 200, "total_steps": 213, "loss": 1.1373133659362793, "lr": 1.3198031674745814e-07, "epoch": 2.824888888888889, "percentage": 93.9, "elapsed_time": "2:41:30", "remaining_time": "0:10:29"}
204
+ {"current_steps": 200, "total_steps": 213, "eval_loss": 1.1767549514770508, "epoch": 2.824888888888889, "percentage": 93.9, "elapsed_time": "2:41:48", "remaining_time": "0:10:31"}
205
+ {"current_steps": 201, "total_steps": 213, "loss": 1.1472009420394897, "lr": 1.138687045569975e-07, "epoch": 2.8391111111111114, "percentage": 94.37, "elapsed_time": "2:42:36", "remaining_time": "0:09:42"}
206
+ {"current_steps": 202, "total_steps": 213, "loss": 1.1417003870010376, "lr": 9.70789611675449e-08, "epoch": 2.8533333333333335, "percentage": 94.84, "elapsed_time": "2:43:23", "remaining_time": "0:08:53"}
207
+ {"current_steps": 203, "total_steps": 213, "loss": 1.1214667558670044, "lr": 8.161562878982399e-08, "epoch": 2.8675555555555556, "percentage": 95.31, "elapsed_time": "2:44:10", "remaining_time": "0:08:05"}
208
+ {"current_steps": 204, "total_steps": 213, "loss": 1.138871431350708, "lr": 6.74828907941516e-08, "epoch": 2.8817777777777778, "percentage": 95.77, "elapsed_time": "2:44:58", "remaining_time": "0:07:16"}
209
+ {"current_steps": 205, "total_steps": 213, "loss": 1.1596763134002686, "lr": 5.468457057869358e-08, "epoch": 2.896, "percentage": 96.24, "elapsed_time": "2:45:46", "remaining_time": "0:06:28"}
210
+ {"current_steps": 206, "total_steps": 213, "loss": 1.1474013328552246, "lr": 4.322413053509944e-08, "epoch": 2.910222222222222, "percentage": 96.71, "elapsed_time": "2:46:34", "remaining_time": "0:05:39"}
211
+ {"current_steps": 207, "total_steps": 213, "loss": 1.1420172452926636, "lr": 3.31046711118066e-08, "epoch": 2.924444444444444, "percentage": 97.18, "elapsed_time": "2:47:21", "remaining_time": "0:04:51"}
212
+ {"current_steps": 208, "total_steps": 213, "loss": 1.149836778640747, "lr": 2.4328929975260262e-08, "epoch": 2.9386666666666668, "percentage": 97.65, "elapsed_time": "2:48:08", "remaining_time": "0:04:02"}
213
+ {"current_steps": 209, "total_steps": 213, "loss": 1.142824649810791, "lr": 1.6899281269279756e-08, "epoch": 2.952888888888889, "percentage": 98.12, "elapsed_time": "2:48:55", "remaining_time": "0:03:13"}
214
+ {"current_steps": 210, "total_steps": 213, "loss": 1.1392970085144043, "lr": 1.0817734972768946e-08, "epoch": 2.967111111111111, "percentage": 98.59, "elapsed_time": "2:49:42", "remaining_time": "0:02:25"}
215
+ {"current_steps": 211, "total_steps": 213, "loss": 1.1546673774719238, "lr": 6.085936355947897e-09, "epoch": 2.981333333333333, "percentage": 99.06, "elapsed_time": "2:50:30", "remaining_time": "0:01:36"}
216
+ {"current_steps": 212, "total_steps": 213, "loss": 1.1519522666931152, "lr": 2.7051655352494654e-09, "epoch": 2.9955555555555557, "percentage": 99.53, "elapsed_time": "2:51:17", "remaining_time": "0:00:48"}
217
+ {"current_steps": 213, "total_steps": 213, "loss": 1.1223903894424438, "lr": 6.763371270035457e-10, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "2:51:32", "remaining_time": "0:00:00"}
218
+ {"current_steps": 213, "total_steps": 213, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "2:52:22", "remaining_time": "0:00:00"}
219
+ {"current_steps": 213, "total_steps": 213, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "0:00:00", "remaining_time": "0:00:00"}
qwen2.5-1.5b-instruct/trainer_state.json ADDED
@@ -0,0 +1,1566 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
+ "eval_steps": 50,
7
+ "global_step": 213,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.014222222222222223,
14
+ "grad_norm": 0.036850932985544205,
15
+ "learning_rate": 0.0,
16
+ "loss": 1.6560986042022705,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.028444444444444446,
21
+ "grad_norm": 0.037402428686618805,
22
+ "learning_rate": 4.5454545454545457e-07,
23
+ "loss": 1.681471347808838,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.042666666666666665,
28
+ "grad_norm": 0.03194897621870041,
29
+ "learning_rate": 9.090909090909091e-07,
30
+ "loss": 1.6596678495407104,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.05688888888888889,
35
+ "grad_norm": 0.02700614556670189,
36
+ "learning_rate": 1.3636363636363636e-06,
37
+ "loss": 1.634795904159546,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.07111111111111111,
42
+ "grad_norm": 0.021732285618782043,
43
+ "learning_rate": 1.8181818181818183e-06,
44
+ "loss": 1.606718897819519,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.08533333333333333,
49
+ "grad_norm": 0.018985262140631676,
50
+ "learning_rate": 2.2727272727272728e-06,
51
+ "loss": 1.5807676315307617,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.09955555555555555,
56
+ "grad_norm": 0.018287895247340202,
57
+ "learning_rate": 2.7272727272727272e-06,
58
+ "loss": 1.5490249395370483,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.11377777777777778,
63
+ "grad_norm": 0.017051130533218384,
64
+ "learning_rate": 3.181818181818182e-06,
65
+ "loss": 1.5317950248718262,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.128,
70
+ "grad_norm": 0.015596743673086166,
71
+ "learning_rate": 3.6363636363636366e-06,
72
+ "loss": 1.5076513290405273,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.14222222222222222,
77
+ "grad_norm": 0.014579818584024906,
78
+ "learning_rate": 4.0909090909090915e-06,
79
+ "loss": 1.4786231517791748,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.15644444444444444,
84
+ "grad_norm": 0.012900307774543762,
85
+ "learning_rate": 4.5454545454545455e-06,
86
+ "loss": 1.469682216644287,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.17066666666666666,
91
+ "grad_norm": 0.011142965406179428,
92
+ "learning_rate": 5e-06,
93
+ "loss": 1.4563651084899902,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.18488888888888888,
98
+ "grad_norm": 0.011200510896742344,
99
+ "learning_rate": 5.4545454545454545e-06,
100
+ "loss": 1.4510159492492676,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.1991111111111111,
105
+ "grad_norm": 0.01117027923464775,
106
+ "learning_rate": 5.90909090909091e-06,
107
+ "loss": 1.440371036529541,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.21333333333333335,
112
+ "grad_norm": 0.010404860600829124,
113
+ "learning_rate": 6.363636363636364e-06,
114
+ "loss": 1.4149150848388672,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.22755555555555557,
119
+ "grad_norm": 0.009069642052054405,
120
+ "learning_rate": 6.818181818181818e-06,
121
+ "loss": 1.3951767683029175,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.24177777777777779,
126
+ "grad_norm": 0.008563642390072346,
127
+ "learning_rate": 7.272727272727273e-06,
128
+ "loss": 1.3866009712219238,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.256,
133
+ "grad_norm": 0.008158586919307709,
134
+ "learning_rate": 7.727272727272727e-06,
135
+ "loss": 1.3851287364959717,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.2702222222222222,
140
+ "grad_norm": 0.008019132539629936,
141
+ "learning_rate": 8.181818181818183e-06,
142
+ "loss": 1.3660919666290283,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.28444444444444444,
147
+ "grad_norm": 0.007505647838115692,
148
+ "learning_rate": 8.636363636363637e-06,
149
+ "loss": 1.3991025686264038,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.2986666666666667,
154
+ "grad_norm": 0.0068238647654652596,
155
+ "learning_rate": 9.090909090909091e-06,
156
+ "loss": 1.3563741445541382,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.3128888888888889,
161
+ "grad_norm": 0.00681255292147398,
162
+ "learning_rate": 9.545454545454547e-06,
163
+ "loss": 1.3432800769805908,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.32711111111111113,
168
+ "grad_norm": 0.0064102653414011,
169
+ "learning_rate": 1e-05,
170
+ "loss": 1.3540418148040771,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.3413333333333333,
175
+ "grad_norm": 0.006286031566560268,
176
+ "learning_rate": 9.999323662872998e-06,
177
+ "loss": 1.3571672439575195,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.35555555555555557,
182
+ "grad_norm": 0.006193141452968121,
183
+ "learning_rate": 9.99729483446475e-06,
184
+ "loss": 1.3181281089782715,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.36977777777777776,
189
+ "grad_norm": 0.005919129587709904,
190
+ "learning_rate": 9.993914063644053e-06,
191
+ "loss": 1.3311502933502197,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.384,
196
+ "grad_norm": 0.005563116166740656,
197
+ "learning_rate": 9.989182265027232e-06,
198
+ "loss": 1.3282787799835205,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.3982222222222222,
203
+ "grad_norm": 0.005611867178231478,
204
+ "learning_rate": 9.98310071873072e-06,
205
+ "loss": 1.325502872467041,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.41244444444444445,
210
+ "grad_norm": 0.0053426348604261875,
211
+ "learning_rate": 9.975671070024741e-06,
212
+ "loss": 1.3453574180603027,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.4266666666666667,
217
+ "grad_norm": 0.0058601596392691135,
218
+ "learning_rate": 9.966895328888195e-06,
219
+ "loss": 1.3257673978805542,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.4408888888888889,
224
+ "grad_norm": 0.005306159611791372,
225
+ "learning_rate": 9.956775869464901e-06,
226
+ "loss": 1.317690372467041,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.45511111111111113,
231
+ "grad_norm": 0.0048169931396842,
232
+ "learning_rate": 9.945315429421307e-06,
233
+ "loss": 1.3243460655212402,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.4693333333333333,
238
+ "grad_norm": 0.0048377541825175285,
239
+ "learning_rate": 9.932517109205849e-06,
240
+ "loss": 1.3194491863250732,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.48355555555555557,
245
+ "grad_norm": 0.004818843677639961,
246
+ "learning_rate": 9.918384371210178e-06,
247
+ "loss": 1.3047914505004883,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.49777777777777776,
252
+ "grad_norm": 0.005093662533909082,
253
+ "learning_rate": 9.902921038832456e-06,
254
+ "loss": 1.2955162525177002,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.512,
259
+ "grad_norm": 0.005024498328566551,
260
+ "learning_rate": 9.886131295443003e-06,
261
+ "loss": 1.3118610382080078,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.5262222222222223,
266
+ "grad_norm": 0.004711818415671587,
267
+ "learning_rate": 9.868019683252543e-06,
268
+ "loss": 1.302067518234253,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.5404444444444444,
273
+ "grad_norm": 0.0047568087466061115,
274
+ "learning_rate": 9.848591102083375e-06,
275
+ "loss": 1.2789689302444458,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.5546666666666666,
280
+ "grad_norm": 0.004525096621364355,
281
+ "learning_rate": 9.82785080804381e-06,
282
+ "loss": 1.2827372550964355,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.5688888888888889,
287
+ "grad_norm": 0.0044178408570587635,
288
+ "learning_rate": 9.805804412106197e-06,
289
+ "loss": 1.2863564491271973,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.5831111111111111,
294
+ "grad_norm": 0.00429871492087841,
295
+ "learning_rate": 9.782457878588977e-06,
296
+ "loss": 1.2768702507019043,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.5973333333333334,
301
+ "grad_norm": 0.004442654084414244,
302
+ "learning_rate": 9.75781752354311e-06,
303
+ "loss": 1.2826354503631592,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.6115555555555555,
308
+ "grad_norm": 0.004453128203749657,
309
+ "learning_rate": 9.731890013043367e-06,
310
+ "loss": 1.275444746017456,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.6257777777777778,
315
+ "grad_norm": 0.004429741762578487,
316
+ "learning_rate": 9.704682361384941e-06,
317
+ "loss": 1.2660303115844727,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.64,
322
+ "grad_norm": 0.004699238575994968,
323
+ "learning_rate": 9.676201929185809e-06,
324
+ "loss": 1.2627251148223877,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.6542222222222223,
329
+ "grad_norm": 0.004564967937767506,
330
+ "learning_rate": 9.646456421395447e-06,
331
+ "loss": 1.2888470888137817,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.6684444444444444,
336
+ "grad_norm": 0.004141585901379585,
337
+ "learning_rate": 9.615453885210368e-06,
338
+ "loss": 1.2826390266418457,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.6826666666666666,
343
+ "grad_norm": 0.004241476766765118,
344
+ "learning_rate": 9.583202707897075e-06,
345
+ "loss": 1.2571580410003662,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.6968888888888889,
350
+ "grad_norm": 0.004200824070721865,
351
+ "learning_rate": 9.549711614523007e-06,
352
+ "loss": 1.2616808414459229,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.7111111111111111,
357
+ "grad_norm": 0.004399280063807964,
358
+ "learning_rate": 9.514989665596114e-06,
359
+ "loss": 1.263854742050171,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.7111111111111111,
364
+ "eval_loss": 1.248613715171814,
365
+ "eval_runtime": 54.7705,
366
+ "eval_samples_per_second": 3.652,
367
+ "eval_steps_per_second": 1.826,
368
+ "step": 50
369
+ },
370
+ {
371
+ "epoch": 0.7253333333333334,
372
+ "grad_norm": 0.004282557871192694,
373
+ "learning_rate": 9.479046254613673e-06,
374
+ "loss": 1.279876947402954,
375
+ "step": 51
376
+ },
377
+ {
378
+ "epoch": 0.7395555555555555,
379
+ "grad_norm": 0.004135944880545139,
380
+ "learning_rate": 9.441891105521005e-06,
381
+ "loss": 1.2600014209747314,
382
+ "step": 52
383
+ },
384
+ {
385
+ "epoch": 0.7537777777777778,
386
+ "grad_norm": 0.0039484258741140366,
387
+ "learning_rate": 9.40353427008083e-06,
388
+ "loss": 1.2702335119247437,
389
+ "step": 53
390
+ },
391
+ {
392
+ "epoch": 0.768,
393
+ "grad_norm": 0.004160050302743912,
394
+ "learning_rate": 9.3639861251539e-06,
395
+ "loss": 1.2441630363464355,
396
+ "step": 54
397
+ },
398
+ {
399
+ "epoch": 0.7822222222222223,
400
+ "grad_norm": 0.004111913964152336,
401
+ "learning_rate": 9.323257369891702e-06,
402
+ "loss": 1.2441895008087158,
403
+ "step": 55
404
+ },
405
+ {
406
+ "epoch": 0.7964444444444444,
407
+ "grad_norm": 0.004063262604176998,
408
+ "learning_rate": 9.281359022841966e-06,
409
+ "loss": 1.255817174911499,
410
+ "step": 56
411
+ },
412
+ {
413
+ "epoch": 0.8106666666666666,
414
+ "grad_norm": 0.003984581213444471,
415
+ "learning_rate": 9.238302418967757e-06,
416
+ "loss": 1.2536640167236328,
417
+ "step": 57
418
+ },
419
+ {
420
+ "epoch": 0.8248888888888889,
421
+ "grad_norm": 0.003996702842414379,
422
+ "learning_rate": 9.194099206580981e-06,
423
+ "loss": 1.2499892711639404,
424
+ "step": 58
425
+ },
426
+ {
427
+ "epoch": 0.8391111111111111,
428
+ "grad_norm": 0.0044861058704555035,
429
+ "learning_rate": 9.14876134419111e-06,
430
+ "loss": 1.248606562614441,
431
+ "step": 59
432
+ },
433
+ {
434
+ "epoch": 0.8533333333333334,
435
+ "grad_norm": 0.004101422615349293,
436
+ "learning_rate": 9.102301097269974e-06,
437
+ "loss": 1.247856616973877,
438
+ "step": 60
439
+ },
440
+ {
441
+ "epoch": 0.8675555555555555,
442
+ "grad_norm": 0.004009375814348459,
443
+ "learning_rate": 9.05473103493355e-06,
444
+ "loss": 1.257920742034912,
445
+ "step": 61
446
+ },
447
+ {
448
+ "epoch": 0.8817777777777778,
449
+ "grad_norm": 0.0039364611729979515,
450
+ "learning_rate": 9.006064026541549e-06,
451
+ "loss": 1.2761049270629883,
452
+ "step": 62
453
+ },
454
+ {
455
+ "epoch": 0.896,
456
+ "grad_norm": 0.004427333828061819,
457
+ "learning_rate": 8.956313238215824e-06,
458
+ "loss": 1.245169997215271,
459
+ "step": 63
460
+ },
461
+ {
462
+ "epoch": 0.9102222222222223,
463
+ "grad_norm": 0.004076611250638962,
464
+ "learning_rate": 8.905492129278478e-06,
465
+ "loss": 1.234323263168335,
466
+ "step": 64
467
+ },
468
+ {
469
+ "epoch": 0.9244444444444444,
470
+ "grad_norm": 0.004032611381262541,
471
+ "learning_rate": 8.85361444861063e-06,
472
+ "loss": 1.2250256538391113,
473
+ "step": 65
474
+ },
475
+ {
476
+ "epoch": 0.9386666666666666,
477
+ "grad_norm": 0.004036127123981714,
478
+ "learning_rate": 8.800694230932885e-06,
479
+ "loss": 1.2339348793029785,
480
+ "step": 66
481
+ },
482
+ {
483
+ "epoch": 0.9528888888888889,
484
+ "grad_norm": 0.004113379865884781,
485
+ "learning_rate": 8.74674579300843e-06,
486
+ "loss": 1.252026081085205,
487
+ "step": 67
488
+ },
489
+ {
490
+ "epoch": 0.9671111111111111,
491
+ "grad_norm": 0.004064187407493591,
492
+ "learning_rate": 8.691783729769874e-06,
493
+ "loss": 1.2473349571228027,
494
+ "step": 68
495
+ },
496
+ {
497
+ "epoch": 0.9813333333333333,
498
+ "grad_norm": 0.0040993476286530495,
499
+ "learning_rate": 8.635822910370793e-06,
500
+ "loss": 1.2227911949157715,
501
+ "step": 69
502
+ },
503
+ {
504
+ "epoch": 0.9955555555555555,
505
+ "grad_norm": 0.003903420874848962,
506
+ "learning_rate": 8.578878474163115e-06,
507
+ "loss": 1.2343428134918213,
508
+ "step": 70
509
+ },
510
+ {
511
+ "epoch": 1.0,
512
+ "grad_norm": 0.006894194986671209,
513
+ "learning_rate": 8.520965826601394e-06,
514
+ "loss": 1.2428948879241943,
515
+ "step": 71
516
+ },
517
+ {
518
+ "epoch": 1.0142222222222221,
519
+ "grad_norm": 0.004313764162361622,
520
+ "learning_rate": 8.462100635075097e-06,
521
+ "loss": 1.202027440071106,
522
+ "step": 72
523
+ },
524
+ {
525
+ "epoch": 1.0284444444444445,
526
+ "grad_norm": 0.004148328676819801,
527
+ "learning_rate": 8.40229882467003e-06,
528
+ "loss": 1.2224020957946777,
529
+ "step": 73
530
+ },
531
+ {
532
+ "epoch": 1.0426666666666666,
533
+ "grad_norm": 0.00453830836340785,
534
+ "learning_rate": 8.341576573860049e-06,
535
+ "loss": 1.2196844816207886,
536
+ "step": 74
537
+ },
538
+ {
539
+ "epoch": 1.056888888888889,
540
+ "grad_norm": 0.004094650503247976,
541
+ "learning_rate": 8.279950310130218e-06,
542
+ "loss": 1.2222049236297607,
543
+ "step": 75
544
+ },
545
+ {
546
+ "epoch": 1.0711111111111111,
547
+ "grad_norm": 0.004169773776084185,
548
+ "learning_rate": 8.2174367055326e-06,
549
+ "loss": 1.2127679586410522,
550
+ "step": 76
551
+ },
552
+ {
553
+ "epoch": 1.0853333333333333,
554
+ "grad_norm": 0.004176456015557051,
555
+ "learning_rate": 8.154052672175888e-06,
556
+ "loss": 1.1962798833847046,
557
+ "step": 77
558
+ },
559
+ {
560
+ "epoch": 1.0995555555555556,
561
+ "grad_norm": 0.004215880297124386,
562
+ "learning_rate": 8.08981535765009e-06,
563
+ "loss": 1.192876935005188,
564
+ "step": 78
565
+ },
566
+ {
567
+ "epoch": 1.1137777777777778,
568
+ "grad_norm": 0.004112801048904657,
569
+ "learning_rate": 8.024742140387506e-06,
570
+ "loss": 1.204209566116333,
571
+ "step": 79
572
+ },
573
+ {
574
+ "epoch": 1.1280000000000001,
575
+ "grad_norm": 0.00416502496227622,
576
+ "learning_rate": 7.95885062496126e-06,
577
+ "loss": 1.2061021327972412,
578
+ "step": 80
579
+ },
580
+ {
581
+ "epoch": 1.1422222222222222,
582
+ "grad_norm": 0.004163650795817375,
583
+ "learning_rate": 7.892158637322647e-06,
584
+ "loss": 1.2074682712554932,
585
+ "step": 81
586
+ },
587
+ {
588
+ "epoch": 1.1564444444444444,
589
+ "grad_norm": 0.004129140637814999,
590
+ "learning_rate": 7.824684219978591e-06,
591
+ "loss": 1.1797451972961426,
592
+ "step": 82
593
+ },
594
+ {
595
+ "epoch": 1.1706666666666667,
596
+ "grad_norm": 0.004320825915783644,
597
+ "learning_rate": 7.756445627110523e-06,
598
+ "loss": 1.2151604890823364,
599
+ "step": 83
600
+ },
601
+ {
602
+ "epoch": 1.1848888888888889,
603
+ "grad_norm": 0.004057695157825947,
604
+ "learning_rate": 7.68746131963598e-06,
605
+ "loss": 1.1917520761489868,
606
+ "step": 84
607
+ },
608
+ {
609
+ "epoch": 1.199111111111111,
610
+ "grad_norm": 0.004045524168759584,
611
+ "learning_rate": 7.6177499602143e-06,
612
+ "loss": 1.1966304779052734,
613
+ "step": 85
614
+ },
615
+ {
616
+ "epoch": 1.2133333333333334,
617
+ "grad_norm": 0.004168134648352861,
618
+ "learning_rate": 7.547330408197695e-06,
619
+ "loss": 1.2256059646606445,
620
+ "step": 86
621
+ },
622
+ {
623
+ "epoch": 1.2275555555555555,
624
+ "grad_norm": 0.0040689390152692795,
625
+ "learning_rate": 7.476221714529167e-06,
626
+ "loss": 1.1984763145446777,
627
+ "step": 87
628
+ },
629
+ {
630
+ "epoch": 1.2417777777777779,
631
+ "grad_norm": 0.004095707554370165,
632
+ "learning_rate": 7.404443116588548e-06,
633
+ "loss": 1.1815118789672852,
634
+ "step": 88
635
+ },
636
+ {
637
+ "epoch": 1.256,
638
+ "grad_norm": 0.004128715489059687,
639
+ "learning_rate": 7.332014032988123e-06,
640
+ "loss": 1.1813948154449463,
641
+ "step": 89
642
+ },
643
+ {
644
+ "epoch": 1.2702222222222221,
645
+ "grad_norm": 0.004037311766296625,
646
+ "learning_rate": 7.2589540583192165e-06,
647
+ "loss": 1.2083604335784912,
648
+ "step": 90
649
+ },
650
+ {
651
+ "epoch": 1.2844444444444445,
652
+ "grad_norm": 0.004094353877007961,
653
+ "learning_rate": 7.185282957851175e-06,
654
+ "loss": 1.2008360624313354,
655
+ "step": 91
656
+ },
657
+ {
658
+ "epoch": 1.2986666666666666,
659
+ "grad_norm": 0.004135950934141874,
660
+ "learning_rate": 7.111020662184174e-06,
661
+ "loss": 1.1902484893798828,
662
+ "step": 92
663
+ },
664
+ {
665
+ "epoch": 1.3128888888888888,
666
+ "grad_norm": 0.003980172332376242,
667
+ "learning_rate": 7.036187261857289e-06,
668
+ "loss": 1.1865317821502686,
669
+ "step": 93
670
+ },
671
+ {
672
+ "epoch": 1.3271111111111111,
673
+ "grad_norm": 0.003914009779691696,
674
+ "learning_rate": 6.960803001913315e-06,
675
+ "loss": 1.1860058307647705,
676
+ "step": 94
677
+ },
678
+ {
679
+ "epoch": 1.3413333333333333,
680
+ "grad_norm": 0.003945492208003998,
681
+ "learning_rate": 6.884888276421766e-06,
682
+ "loss": 1.1842578649520874,
683
+ "step": 95
684
+ },
685
+ {
686
+ "epoch": 1.3555555555555556,
687
+ "grad_norm": 0.0038985933642834425,
688
+ "learning_rate": 6.8084636229615786e-06,
689
+ "loss": 1.1814080476760864,
690
+ "step": 96
691
+ },
692
+ {
693
+ "epoch": 1.3697777777777778,
694
+ "grad_norm": 0.003922275733202696,
695
+ "learning_rate": 6.731549717064975e-06,
696
+ "loss": 1.193676233291626,
697
+ "step": 97
698
+ },
699
+ {
700
+ "epoch": 1.384,
701
+ "grad_norm": 0.004165121354162693,
702
+ "learning_rate": 6.654167366624009e-06,
703
+ "loss": 1.2141278982162476,
704
+ "step": 98
705
+ },
706
+ {
707
+ "epoch": 1.3982222222222223,
708
+ "grad_norm": 0.004156369715929031,
709
+ "learning_rate": 6.576337506261314e-06,
710
+ "loss": 1.1865811347961426,
711
+ "step": 99
712
+ },
713
+ {
714
+ "epoch": 1.4124444444444444,
715
+ "grad_norm": 0.00419853487983346,
716
+ "learning_rate": 6.498081191666549e-06,
717
+ "loss": 1.1954832077026367,
718
+ "step": 100
719
+ },
720
+ {
721
+ "epoch": 1.4124444444444444,
722
+ "eval_loss": 1.1988927125930786,
723
+ "eval_runtime": 11.4257,
724
+ "eval_samples_per_second": 17.504,
725
+ "eval_steps_per_second": 8.752,
726
+ "step": 100
727
+ },
728
+ {
729
+ "epoch": 1.4266666666666667,
730
+ "grad_norm": 0.003968748729676008,
731
+ "learning_rate": 6.419419593900109e-06,
732
+ "loss": 1.1804523468017578,
733
+ "step": 101
734
+ },
735
+ {
736
+ "epoch": 1.4408888888888889,
737
+ "grad_norm": 0.003949783742427826,
738
+ "learning_rate": 6.340373993665607e-06,
739
+ "loss": 1.2068874835968018,
740
+ "step": 102
741
+ },
742
+ {
743
+ "epoch": 1.455111111111111,
744
+ "grad_norm": 0.004127713851630688,
745
+ "learning_rate": 6.2609657755527135e-06,
746
+ "loss": 1.1804969310760498,
747
+ "step": 103
748
+ },
749
+ {
750
+ "epoch": 1.4693333333333334,
751
+ "grad_norm": 0.004182465374469757,
752
+ "learning_rate": 6.1812164222518626e-06,
753
+ "loss": 1.1953659057617188,
754
+ "step": 104
755
+ },
756
+ {
757
+ "epoch": 1.4835555555555555,
758
+ "grad_norm": 0.004224156495183706,
759
+ "learning_rate": 6.101147508742456e-06,
760
+ "loss": 1.1933740377426147,
761
+ "step": 105
762
+ },
763
+ {
764
+ "epoch": 1.4977777777777779,
765
+ "grad_norm": 0.0041472818702459335,
766
+ "learning_rate": 6.020780696456059e-06,
767
+ "loss": 1.201953411102295,
768
+ "step": 106
769
+ },
770
+ {
771
+ "epoch": 1.512,
772
+ "grad_norm": 0.0038781315088272095,
773
+ "learning_rate": 5.940137727416247e-06,
774
+ "loss": 1.1897786855697632,
775
+ "step": 107
776
+ },
777
+ {
778
+ "epoch": 1.5262222222222221,
779
+ "grad_norm": 0.004033711273223162,
780
+ "learning_rate": 5.859240418356614e-06,
781
+ "loss": 1.1798899173736572,
782
+ "step": 108
783
+ },
784
+ {
785
+ "epoch": 1.5404444444444443,
786
+ "grad_norm": 0.00406253058463335,
787
+ "learning_rate": 5.778110654818602e-06,
788
+ "loss": 1.1853947639465332,
789
+ "step": 109
790
+ },
791
+ {
792
+ "epoch": 1.5546666666666666,
793
+ "grad_norm": 0.004025817848742008,
794
+ "learning_rate": 5.696770385230679e-06,
795
+ "loss": 1.1760761737823486,
796
+ "step": 110
797
+ },
798
+ {
799
+ "epoch": 1.568888888888889,
800
+ "grad_norm": 0.004029016941785812,
801
+ "learning_rate": 5.615241614970546e-06,
802
+ "loss": 1.1980795860290527,
803
+ "step": 111
804
+ },
805
+ {
806
+ "epoch": 1.5831111111111111,
807
+ "grad_norm": 0.004079029895365238,
808
+ "learning_rate": 5.533546400411899e-06,
809
+ "loss": 1.1878252029418945,
810
+ "step": 112
811
+ },
812
+ {
813
+ "epoch": 1.5973333333333333,
814
+ "grad_norm": 0.004004180897027254,
815
+ "learning_rate": 5.4517068429574215e-06,
816
+ "loss": 1.1891889572143555,
817
+ "step": 113
818
+ },
819
+ {
820
+ "epoch": 1.6115555555555554,
821
+ "grad_norm": 0.004044163506478071,
822
+ "learning_rate": 5.3697450830595775e-06,
823
+ "loss": 1.1935696601867676,
824
+ "step": 114
825
+ },
826
+ {
827
+ "epoch": 1.6257777777777778,
828
+ "grad_norm": 0.0040819537825882435,
829
+ "learning_rate": 5.287683294230855e-06,
830
+ "loss": 1.1648902893066406,
831
+ "step": 115
832
+ },
833
+ {
834
+ "epoch": 1.6400000000000001,
835
+ "grad_norm": 0.0042525348253548145,
836
+ "learning_rate": 5.20554367704505e-06,
837
+ "loss": 1.1749862432479858,
838
+ "step": 116
839
+ },
840
+ {
841
+ "epoch": 1.6542222222222223,
842
+ "grad_norm": 0.004129970911890268,
843
+ "learning_rate": 5.123348453131242e-06,
844
+ "loss": 1.200908899307251,
845
+ "step": 117
846
+ },
847
+ {
848
+ "epoch": 1.6684444444444444,
849
+ "grad_norm": 0.004072704818099737,
850
+ "learning_rate": 5.041119859162068e-06,
851
+ "loss": 1.189719796180725,
852
+ "step": 118
853
+ },
854
+ {
855
+ "epoch": 1.6826666666666665,
856
+ "grad_norm": 0.004113580100238323,
857
+ "learning_rate": 4.958880140837934e-06,
858
+ "loss": 1.1798235177993774,
859
+ "step": 119
860
+ },
861
+ {
862
+ "epoch": 1.696888888888889,
863
+ "grad_norm": 0.003983311355113983,
864
+ "learning_rate": 4.876651546868759e-06,
865
+ "loss": 1.166198492050171,
866
+ "step": 120
867
+ },
868
+ {
869
+ "epoch": 1.7111111111111112,
870
+ "grad_norm": 0.003966879565268755,
871
+ "learning_rate": 4.794456322954953e-06,
872
+ "loss": 1.1802079677581787,
873
+ "step": 121
874
+ },
875
+ {
876
+ "epoch": 1.7253333333333334,
877
+ "grad_norm": 0.004070781171321869,
878
+ "learning_rate": 4.7123167057691446e-06,
879
+ "loss": 1.1807469129562378,
880
+ "step": 122
881
+ },
882
+ {
883
+ "epoch": 1.7395555555555555,
884
+ "grad_norm": 0.0039869495667517185,
885
+ "learning_rate": 4.630254916940424e-06,
886
+ "loss": 1.1979055404663086,
887
+ "step": 123
888
+ },
889
+ {
890
+ "epoch": 1.7537777777777777,
891
+ "grad_norm": 0.004057880956679583,
892
+ "learning_rate": 4.548293157042581e-06,
893
+ "loss": 1.192582130432129,
894
+ "step": 124
895
+ },
896
+ {
897
+ "epoch": 1.768,
898
+ "grad_norm": 0.004071912728250027,
899
+ "learning_rate": 4.466453599588103e-06,
900
+ "loss": 1.1831550598144531,
901
+ "step": 125
902
+ },
903
+ {
904
+ "epoch": 1.7822222222222224,
905
+ "grad_norm": 0.004058274906128645,
906
+ "learning_rate": 4.384758385029457e-06,
907
+ "loss": 1.1674884557724,
908
+ "step": 126
909
+ },
910
+ {
911
+ "epoch": 1.7964444444444445,
912
+ "grad_norm": 0.0038475256878882647,
913
+ "learning_rate": 4.3032296147693225e-06,
914
+ "loss": 1.181553602218628,
915
+ "step": 127
916
+ },
917
+ {
918
+ "epoch": 1.8106666666666666,
919
+ "grad_norm": 0.0039198137819767,
920
+ "learning_rate": 4.2218893451814005e-06,
921
+ "loss": 1.153355360031128,
922
+ "step": 128
923
+ },
924
+ {
925
+ "epoch": 1.8248888888888888,
926
+ "grad_norm": 0.003993947524577379,
927
+ "learning_rate": 4.140759581643386e-06,
928
+ "loss": 1.1762878894805908,
929
+ "step": 129
930
+ },
931
+ {
932
+ "epoch": 1.8391111111111111,
933
+ "grad_norm": 0.003767550690099597,
934
+ "learning_rate": 4.059862272583755e-06,
935
+ "loss": 1.1792393922805786,
936
+ "step": 130
937
+ },
938
+ {
939
+ "epoch": 1.8533333333333335,
940
+ "grad_norm": 0.004042964428663254,
941
+ "learning_rate": 3.979219303543942e-06,
942
+ "loss": 1.1686198711395264,
943
+ "step": 131
944
+ },
945
+ {
946
+ "epoch": 1.8675555555555556,
947
+ "grad_norm": 0.004027931950986385,
948
+ "learning_rate": 3.898852491257547e-06,
949
+ "loss": 1.179172396659851,
950
+ "step": 132
951
+ },
952
+ {
953
+ "epoch": 1.8817777777777778,
954
+ "grad_norm": 0.003951320890337229,
955
+ "learning_rate": 3.818783577748138e-06,
956
+ "loss": 1.1667160987854004,
957
+ "step": 133
958
+ },
959
+ {
960
+ "epoch": 1.896,
961
+ "grad_norm": 0.003887354861944914,
962
+ "learning_rate": 3.7390342244472886e-06,
963
+ "loss": 1.1844608783721924,
964
+ "step": 134
965
+ },
966
+ {
967
+ "epoch": 1.9102222222222223,
968
+ "grad_norm": 0.003996608778834343,
969
+ "learning_rate": 3.659626006334395e-06,
970
+ "loss": 1.1989758014678955,
971
+ "step": 135
972
+ },
973
+ {
974
+ "epoch": 1.9244444444444444,
975
+ "grad_norm": 0.003960869275033474,
976
+ "learning_rate": 3.5805804060998926e-06,
977
+ "loss": 1.1868371963500977,
978
+ "step": 136
979
+ },
980
+ {
981
+ "epoch": 1.9386666666666668,
982
+ "grad_norm": 0.003877371782436967,
983
+ "learning_rate": 3.501918808333453e-06,
984
+ "loss": 1.166593313217163,
985
+ "step": 137
986
+ },
987
+ {
988
+ "epoch": 1.952888888888889,
989
+ "grad_norm": 0.004059459548443556,
990
+ "learning_rate": 3.4236624937386874e-06,
991
+ "loss": 1.1770471334457397,
992
+ "step": 138
993
+ },
994
+ {
995
+ "epoch": 1.967111111111111,
996
+ "grad_norm": 0.0038016922771930695,
997
+ "learning_rate": 3.3458326333759927e-06,
998
+ "loss": 1.1796729564666748,
999
+ "step": 139
1000
+ },
1001
+ {
1002
+ "epoch": 1.9813333333333332,
1003
+ "grad_norm": 0.00393063947558403,
1004
+ "learning_rate": 3.268450282935026e-06,
1005
+ "loss": 1.1624293327331543,
1006
+ "step": 140
1007
+ },
1008
+ {
1009
+ "epoch": 1.9955555555555555,
1010
+ "grad_norm": 0.0037788248155266047,
1011
+ "learning_rate": 3.1915363770384223e-06,
1012
+ "loss": 1.1687278747558594,
1013
+ "step": 141
1014
+ },
1015
+ {
1016
+ "epoch": 2.0,
1017
+ "grad_norm": 0.006625148933380842,
1018
+ "learning_rate": 3.1151117235782346e-06,
1019
+ "loss": 1.1975963115692139,
1020
+ "step": 142
1021
+ },
1022
+ {
1023
+ "epoch": 2.014222222222222,
1024
+ "grad_norm": 0.003876346629112959,
1025
+ "learning_rate": 3.0391969980866874e-06,
1026
+ "loss": 1.1713850498199463,
1027
+ "step": 143
1028
+ },
1029
+ {
1030
+ "epoch": 2.0284444444444443,
1031
+ "grad_norm": 0.003996741026639938,
1032
+ "learning_rate": 2.963812738142713e-06,
1033
+ "loss": 1.1817915439605713,
1034
+ "step": 144
1035
+ },
1036
+ {
1037
+ "epoch": 2.042666666666667,
1038
+ "grad_norm": 0.003873717039823532,
1039
+ "learning_rate": 2.8889793378158284e-06,
1040
+ "loss": 1.1671693325042725,
1041
+ "step": 145
1042
+ },
1043
+ {
1044
+ "epoch": 2.056888888888889,
1045
+ "grad_norm": 0.003939088433980942,
1046
+ "learning_rate": 2.814717042148827e-06,
1047
+ "loss": 1.1553094387054443,
1048
+ "step": 146
1049
+ },
1050
+ {
1051
+ "epoch": 2.071111111111111,
1052
+ "grad_norm": 0.003916384186595678,
1053
+ "learning_rate": 2.7410459416807856e-06,
1054
+ "loss": 1.1611030101776123,
1055
+ "step": 147
1056
+ },
1057
+ {
1058
+ "epoch": 2.0853333333333333,
1059
+ "grad_norm": 0.0037560381460934877,
1060
+ "learning_rate": 2.6679859670118785e-06,
1061
+ "loss": 1.169109582901001,
1062
+ "step": 148
1063
+ },
1064
+ {
1065
+ "epoch": 2.0995555555555554,
1066
+ "grad_norm": 0.0038683414459228516,
1067
+ "learning_rate": 2.5955568834114523e-06,
1068
+ "loss": 1.1539714336395264,
1069
+ "step": 149
1070
+ },
1071
+ {
1072
+ "epoch": 2.113777777777778,
1073
+ "grad_norm": 0.003892498556524515,
1074
+ "learning_rate": 2.523778285470835e-06,
1075
+ "loss": 1.1314873695373535,
1076
+ "step": 150
1077
+ },
1078
+ {
1079
+ "epoch": 2.113777777777778,
1080
+ "eval_loss": 1.1810542345046997,
1081
+ "eval_runtime": 77.0472,
1082
+ "eval_samples_per_second": 2.596,
1083
+ "eval_steps_per_second": 1.298,
1084
+ "step": 150
1085
+ },
1086
+ {
1087
+ "epoch": 2.128,
1088
+ "grad_norm": 0.003935188986361027,
1089
+ "learning_rate": 2.452669591802307e-06,
1090
+ "loss": 1.1695539951324463,
1091
+ "step": 151
1092
+ },
1093
+ {
1094
+ "epoch": 2.1422222222222222,
1095
+ "grad_norm": 0.0038220868445932865,
1096
+ "learning_rate": 2.3822500397857016e-06,
1097
+ "loss": 1.1494641304016113,
1098
+ "step": 152
1099
+ },
1100
+ {
1101
+ "epoch": 2.1564444444444444,
1102
+ "grad_norm": 0.0038105787243694067,
1103
+ "learning_rate": 2.3125386803640188e-06,
1104
+ "loss": 1.1655616760253906,
1105
+ "step": 153
1106
+ },
1107
+ {
1108
+ "epoch": 2.1706666666666665,
1109
+ "grad_norm": 0.003957564476877451,
1110
+ "learning_rate": 2.243554372889479e-06,
1111
+ "loss": 1.1519088745117188,
1112
+ "step": 154
1113
+ },
1114
+ {
1115
+ "epoch": 2.1848888888888887,
1116
+ "grad_norm": 0.003938976209610701,
1117
+ "learning_rate": 2.1753157800214107e-06,
1118
+ "loss": 1.1479674577713013,
1119
+ "step": 155
1120
+ },
1121
+ {
1122
+ "epoch": 2.1991111111111112,
1123
+ "grad_norm": 0.0037570318672806025,
1124
+ "learning_rate": 2.1078413626773547e-06,
1125
+ "loss": 1.1504448652267456,
1126
+ "step": 156
1127
+ },
1128
+ {
1129
+ "epoch": 2.2133333333333334,
1130
+ "grad_norm": 0.003837036434561014,
1131
+ "learning_rate": 2.0411493750387423e-06,
1132
+ "loss": 1.142012119293213,
1133
+ "step": 157
1134
+ },
1135
+ {
1136
+ "epoch": 2.2275555555555555,
1137
+ "grad_norm": 0.0037807337939739227,
1138
+ "learning_rate": 1.9752578596124955e-06,
1139
+ "loss": 1.1382803916931152,
1140
+ "step": 158
1141
+ },
1142
+ {
1143
+ "epoch": 2.2417777777777776,
1144
+ "grad_norm": 0.0038557867519557476,
1145
+ "learning_rate": 1.9101846423499113e-06,
1146
+ "loss": 1.1602444648742676,
1147
+ "step": 159
1148
+ },
1149
+ {
1150
+ "epoch": 2.2560000000000002,
1151
+ "grad_norm": 0.003806622698903084,
1152
+ "learning_rate": 1.8459473278241125e-06,
1153
+ "loss": 1.146360158920288,
1154
+ "step": 160
1155
+ },
1156
+ {
1157
+ "epoch": 2.2702222222222224,
1158
+ "grad_norm": 0.003777023172006011,
1159
+ "learning_rate": 1.7825632944674016e-06,
1160
+ "loss": 1.1420152187347412,
1161
+ "step": 161
1162
+ },
1163
+ {
1164
+ "epoch": 2.2844444444444445,
1165
+ "grad_norm": 0.0038270214572548866,
1166
+ "learning_rate": 1.7200496898697832e-06,
1167
+ "loss": 1.1756829023361206,
1168
+ "step": 162
1169
+ },
1170
+ {
1171
+ "epoch": 2.2986666666666666,
1172
+ "grad_norm": 0.003796679200604558,
1173
+ "learning_rate": 1.6584234261399535e-06,
1174
+ "loss": 1.1596589088439941,
1175
+ "step": 163
1176
+ },
1177
+ {
1178
+ "epoch": 2.3128888888888888,
1179
+ "grad_norm": 0.003775167977437377,
1180
+ "learning_rate": 1.5977011753299726e-06,
1181
+ "loss": 1.1395504474639893,
1182
+ "step": 164
1183
+ },
1184
+ {
1185
+ "epoch": 2.327111111111111,
1186
+ "grad_norm": 0.0038062240928411484,
1187
+ "learning_rate": 1.5378993649249053e-06,
1188
+ "loss": 1.1680355072021484,
1189
+ "step": 165
1190
+ },
1191
+ {
1192
+ "epoch": 2.3413333333333335,
1193
+ "grad_norm": 0.0038756304420530796,
1194
+ "learning_rate": 1.4790341733986085e-06,
1195
+ "loss": 1.1566658020019531,
1196
+ "step": 166
1197
+ },
1198
+ {
1199
+ "epoch": 2.3555555555555556,
1200
+ "grad_norm": 0.00390993244946003,
1201
+ "learning_rate": 1.4211215258368866e-06,
1202
+ "loss": 1.1633788347244263,
1203
+ "step": 167
1204
+ },
1205
+ {
1206
+ "epoch": 2.3697777777777778,
1207
+ "grad_norm": 0.0038066902197897434,
1208
+ "learning_rate": 1.3641770896292083e-06,
1209
+ "loss": 1.1514759063720703,
1210
+ "step": 168
1211
+ },
1212
+ {
1213
+ "epoch": 2.384,
1214
+ "grad_norm": 0.003804982639849186,
1215
+ "learning_rate": 1.3082162702301276e-06,
1216
+ "loss": 1.1515188217163086,
1217
+ "step": 169
1218
+ },
1219
+ {
1220
+ "epoch": 2.398222222222222,
1221
+ "grad_norm": 0.003867222461849451,
1222
+ "learning_rate": 1.2532542069915722e-06,
1223
+ "loss": 1.1591559648513794,
1224
+ "step": 170
1225
+ },
1226
+ {
1227
+ "epoch": 2.4124444444444446,
1228
+ "grad_norm": 0.0037913229316473007,
1229
+ "learning_rate": 1.1993057690671174e-06,
1230
+ "loss": 1.1669801473617554,
1231
+ "step": 171
1232
+ },
1233
+ {
1234
+ "epoch": 2.4266666666666667,
1235
+ "grad_norm": 0.0037280265241861343,
1236
+ "learning_rate": 1.1463855513893695e-06,
1237
+ "loss": 1.155794382095337,
1238
+ "step": 172
1239
+ },
1240
+ {
1241
+ "epoch": 2.440888888888889,
1242
+ "grad_norm": 0.0040002260357141495,
1243
+ "learning_rate": 1.0945078707215224e-06,
1244
+ "loss": 1.1434683799743652,
1245
+ "step": 173
1246
+ },
1247
+ {
1248
+ "epoch": 2.455111111111111,
1249
+ "grad_norm": 0.0037701099645346403,
1250
+ "learning_rate": 1.0436867617841768e-06,
1251
+ "loss": 1.1586582660675049,
1252
+ "step": 174
1253
+ },
1254
+ {
1255
+ "epoch": 2.469333333333333,
1256
+ "grad_norm": 0.0038694143295288086,
1257
+ "learning_rate": 9.939359734584552e-07,
1258
+ "loss": 1.1643059253692627,
1259
+ "step": 175
1260
+ },
1261
+ {
1262
+ "epoch": 2.4835555555555557,
1263
+ "grad_norm": 0.0036939869169145823,
1264
+ "learning_rate": 9.452689650664515e-07,
1265
+ "loss": 1.137399673461914,
1266
+ "step": 176
1267
+ },
1268
+ {
1269
+ "epoch": 2.497777777777778,
1270
+ "grad_norm": 0.0037478527519851923,
1271
+ "learning_rate": 8.976989027300265e-07,
1272
+ "loss": 1.150512456893921,
1273
+ "step": 177
1274
+ },
1275
+ {
1276
+ "epoch": 2.512,
1277
+ "grad_norm": 0.003883050289005041,
1278
+ "learning_rate": 8.512386558088919e-07,
1279
+ "loss": 1.1556127071380615,
1280
+ "step": 178
1281
+ },
1282
+ {
1283
+ "epoch": 2.526222222222222,
1284
+ "grad_norm": 0.003667640034109354,
1285
+ "learning_rate": 8.059007934190194e-07,
1286
+ "loss": 1.1506540775299072,
1287
+ "step": 179
1288
+ },
1289
+ {
1290
+ "epoch": 2.5404444444444443,
1291
+ "grad_norm": 0.003665938274934888,
1292
+ "learning_rate": 7.61697581032243e-07,
1293
+ "loss": 1.1606539487838745,
1294
+ "step": 180
1295
+ },
1296
+ {
1297
+ "epoch": 2.554666666666667,
1298
+ "grad_norm": 0.0037777498364448547,
1299
+ "learning_rate": 7.186409771580355e-07,
1300
+ "loss": 1.145754098892212,
1301
+ "step": 181
1302
+ },
1303
+ {
1304
+ "epoch": 2.568888888888889,
1305
+ "grad_norm": 0.0037169207353144884,
1306
+ "learning_rate": 6.76742630108298e-07,
1307
+ "loss": 1.1506030559539795,
1308
+ "step": 182
1309
+ },
1310
+ {
1311
+ "epoch": 2.583111111111111,
1312
+ "grad_norm": 0.0036668803077191114,
1313
+ "learning_rate": 6.360138748461015e-07,
1314
+ "loss": 1.1366521120071411,
1315
+ "step": 183
1316
+ },
1317
+ {
1318
+ "epoch": 2.5973333333333333,
1319
+ "grad_norm": 0.0037295217625796795,
1320
+ "learning_rate": 5.964657299191712e-07,
1321
+ "loss": 1.1723542213439941,
1322
+ "step": 184
1323
+ },
1324
+ {
1325
+ "epoch": 2.6115555555555554,
1326
+ "grad_norm": 0.003689161501824856,
1327
+ "learning_rate": 5.581088944789953e-07,
1328
+ "loss": 1.1543989181518555,
1329
+ "step": 185
1330
+ },
1331
+ {
1332
+ "epoch": 2.6257777777777775,
1333
+ "grad_norm": 0.0038293329998850822,
1334
+ "learning_rate": 5.20953745386329e-07,
1335
+ "loss": 1.1481022834777832,
1336
+ "step": 186
1337
+ },
1338
+ {
1339
+ "epoch": 2.64,
1340
+ "grad_norm": 0.0037391053047031164,
1341
+ "learning_rate": 4.850103344038853e-07,
1342
+ "loss": 1.1510019302368164,
1343
+ "step": 187
1344
+ },
1345
+ {
1346
+ "epoch": 2.6542222222222223,
1347
+ "grad_norm": 0.0036369990557432175,
1348
+ "learning_rate": 4.502883854769935e-07,
1349
+ "loss": 1.1454750299453735,
1350
+ "step": 188
1351
+ },
1352
+ {
1353
+ "epoch": 2.6684444444444444,
1354
+ "grad_norm": 0.003734483616426587,
1355
+ "learning_rate": 4.167972921029262e-07,
1356
+ "loss": 1.1555531024932861,
1357
+ "step": 189
1358
+ },
1359
+ {
1360
+ "epoch": 2.6826666666666665,
1361
+ "grad_norm": 0.0037341697607189417,
1362
+ "learning_rate": 3.8454611478963235e-07,
1363
+ "loss": 1.141042709350586,
1364
+ "step": 190
1365
+ },
1366
+ {
1367
+ "epoch": 2.696888888888889,
1368
+ "grad_norm": 0.0036616334691643715,
1369
+ "learning_rate": 3.535435786045538e-07,
1370
+ "loss": 1.1597721576690674,
1371
+ "step": 191
1372
+ },
1373
+ {
1374
+ "epoch": 2.7111111111111112,
1375
+ "grad_norm": 0.0037469498347491026,
1376
+ "learning_rate": 3.237980708141919e-07,
1377
+ "loss": 1.1370229721069336,
1378
+ "step": 192
1379
+ },
1380
+ {
1381
+ "epoch": 2.7253333333333334,
1382
+ "grad_norm": 0.003746448317542672,
1383
+ "learning_rate": 2.9531763861505967e-07,
1384
+ "loss": 1.1386423110961914,
1385
+ "step": 193
1386
+ },
1387
+ {
1388
+ "epoch": 2.7395555555555555,
1389
+ "grad_norm": 0.0038595127407461405,
1390
+ "learning_rate": 2.681099869566328e-07,
1391
+ "loss": 1.141430139541626,
1392
+ "step": 194
1393
+ },
1394
+ {
1395
+ "epoch": 2.7537777777777777,
1396
+ "grad_norm": 0.0037963776849210262,
1397
+ "learning_rate": 2.4218247645689306e-07,
1398
+ "loss": 1.1269652843475342,
1399
+ "step": 195
1400
+ },
1401
+ {
1402
+ "epoch": 2.768,
1403
+ "grad_norm": 0.0037523838691413403,
1404
+ "learning_rate": 2.175421214110235e-07,
1405
+ "loss": 1.1652940511703491,
1406
+ "step": 196
1407
+ },
1408
+ {
1409
+ "epoch": 2.7822222222222224,
1410
+ "grad_norm": 0.0037649553269147873,
1411
+ "learning_rate": 1.941955878938029e-07,
1412
+ "loss": 1.1484644412994385,
1413
+ "step": 197
1414
+ },
1415
+ {
1416
+ "epoch": 2.7964444444444445,
1417
+ "grad_norm": 0.0036591957323253155,
1418
+ "learning_rate": 1.721491919561913e-07,
1419
+ "loss": 1.1459333896636963,
1420
+ "step": 198
1421
+ },
1422
+ {
1423
+ "epoch": 2.8106666666666666,
1424
+ "grad_norm": 0.003836029442027211,
1425
+ "learning_rate": 1.514088979166256e-07,
1426
+ "loss": 1.157778024673462,
1427
+ "step": 199
1428
+ },
1429
+ {
1430
+ "epoch": 2.824888888888889,
1431
+ "grad_norm": 0.003767541144043207,
1432
+ "learning_rate": 1.3198031674745814e-07,
1433
+ "loss": 1.1373133659362793,
1434
+ "step": 200
1435
+ },
1436
+ {
1437
+ "epoch": 2.824888888888889,
1438
+ "eval_loss": 1.1767549514770508,
1439
+ "eval_runtime": 17.7324,
1440
+ "eval_samples_per_second": 11.279,
1441
+ "eval_steps_per_second": 5.639,
1442
+ "step": 200
1443
+ },
1444
+ {
1445
+ "epoch": 2.8391111111111114,
1446
+ "grad_norm": 0.0036713366862386465,
1447
+ "learning_rate": 1.138687045569975e-07,
1448
+ "loss": 1.1472009420394897,
1449
+ "step": 201
1450
+ },
1451
+ {
1452
+ "epoch": 2.8533333333333335,
1453
+ "grad_norm": 0.003775710705667734,
1454
+ "learning_rate": 9.70789611675449e-08,
1455
+ "loss": 1.1417003870010376,
1456
+ "step": 202
1457
+ },
1458
+ {
1459
+ "epoch": 2.8675555555555556,
1460
+ "grad_norm": 0.003818412311375141,
1461
+ "learning_rate": 8.161562878982399e-08,
1462
+ "loss": 1.1214667558670044,
1463
+ "step": 203
1464
+ },
1465
+ {
1466
+ "epoch": 2.8817777777777778,
1467
+ "grad_norm": 0.0038233508821576834,
1468
+ "learning_rate": 6.74828907941516e-08,
1469
+ "loss": 1.138871431350708,
1470
+ "step": 204
1471
+ },
1472
+ {
1473
+ "epoch": 2.896,
1474
+ "grad_norm": 0.0036753350868821144,
1475
+ "learning_rate": 5.468457057869358e-08,
1476
+ "loss": 1.1596763134002686,
1477
+ "step": 205
1478
+ },
1479
+ {
1480
+ "epoch": 2.910222222222222,
1481
+ "grad_norm": 0.0036339866928756237,
1482
+ "learning_rate": 4.322413053509944e-08,
1483
+ "loss": 1.1474013328552246,
1484
+ "step": 206
1485
+ },
1486
+ {
1487
+ "epoch": 2.924444444444444,
1488
+ "grad_norm": 0.003777341218665242,
1489
+ "learning_rate": 3.31046711118066e-08,
1490
+ "loss": 1.1420172452926636,
1491
+ "step": 207
1492
+ },
1493
+ {
1494
+ "epoch": 2.9386666666666668,
1495
+ "grad_norm": 0.0037329578772187233,
1496
+ "learning_rate": 2.4328929975260262e-08,
1497
+ "loss": 1.149836778640747,
1498
+ "step": 208
1499
+ },
1500
+ {
1501
+ "epoch": 2.952888888888889,
1502
+ "grad_norm": 0.00386771815828979,
1503
+ "learning_rate": 1.6899281269279756e-08,
1504
+ "loss": 1.142824649810791,
1505
+ "step": 209
1506
+ },
1507
+ {
1508
+ "epoch": 2.967111111111111,
1509
+ "grad_norm": 0.0036802676040679216,
1510
+ "learning_rate": 1.0817734972768946e-08,
1511
+ "loss": 1.1392970085144043,
1512
+ "step": 210
1513
+ },
1514
+ {
1515
+ "epoch": 2.981333333333333,
1516
+ "grad_norm": 0.003702987916767597,
1517
+ "learning_rate": 6.085936355947897e-09,
1518
+ "loss": 1.1546673774719238,
1519
+ "step": 211
1520
+ },
1521
+ {
1522
+ "epoch": 2.9955555555555557,
1523
+ "grad_norm": 0.0036437278613448143,
1524
+ "learning_rate": 2.7051655352494654e-09,
1525
+ "loss": 1.1519522666931152,
1526
+ "step": 212
1527
+ },
1528
+ {
1529
+ "epoch": 3.0,
1530
+ "grad_norm": 0.006544829346239567,
1531
+ "learning_rate": 6.763371270035457e-10,
1532
+ "loss": 1.1223903894424438,
1533
+ "step": 213
1534
+ },
1535
+ {
1536
+ "epoch": 3.0,
1537
+ "step": 213,
1538
+ "total_flos": 4.5153968281196954e+17,
1539
+ "train_loss": 0.0,
1540
+ "train_runtime": 4.5863,
1541
+ "train_samples_per_second": 11774.243,
1542
+ "train_steps_per_second": 46.443
1543
+ }
1544
+ ],
1545
+ "logging_steps": 1,
1546
+ "max_steps": 213,
1547
+ "num_input_tokens_seen": 0,
1548
+ "num_train_epochs": 3,
1549
+ "save_steps": 500,
1550
+ "stateful_callbacks": {
1551
+ "TrainerControl": {
1552
+ "args": {
1553
+ "should_epoch_stop": false,
1554
+ "should_evaluate": false,
1555
+ "should_log": false,
1556
+ "should_save": true,
1557
+ "should_training_stop": true
1558
+ },
1559
+ "attributes": {}
1560
+ }
1561
+ },
1562
+ "total_flos": 4.5153968281196954e+17,
1563
+ "train_batch_size": 1,
1564
+ "trial_name": null,
1565
+ "trial_params": null
1566
+ }
qwen2.5-1.5b-instruct/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:191a35d716d5e6eb5183c0f6b71c5c48a64b55747675582ade81b04d1bb4a020
3
+ size 5713