thetmon commited on
Commit
cb34475
·
verified ·
1 Parent(s): 2a49fad

Upload merged Qwen3-4B-Instruct-2507 model (auto-generated README)

Browse files
Files changed (46) hide show
  1. .gitattributes +3 -0
  2. README.md +72 -0
  3. adapter_config.json +38 -0
  4. adapter_model.safetensors +3 -0
  5. added_tokens.json +28 -0
  6. chat_template.jinja +86 -0
  7. checkpoint-1200/README.md +202 -0
  8. checkpoint-1200/adapter_config.json +38 -0
  9. checkpoint-1200/adapter_model.safetensors +3 -0
  10. checkpoint-1200/added_tokens.json +28 -0
  11. checkpoint-1200/chat_template.jinja +86 -0
  12. checkpoint-1200/merges.txt +0 -0
  13. checkpoint-1200/optimizer.pt +3 -0
  14. checkpoint-1200/rng_state.pth +3 -0
  15. checkpoint-1200/scheduler.pt +3 -0
  16. checkpoint-1200/special_tokens_map.json +31 -0
  17. checkpoint-1200/tokenizer.json +3 -0
  18. checkpoint-1200/tokenizer_config.json +240 -0
  19. checkpoint-1200/trainer_state.json +1194 -0
  20. checkpoint-1200/training_args.bin +3 -0
  21. checkpoint-1200/vocab.json +0 -0
  22. checkpoint-1248/README.md +202 -0
  23. checkpoint-1248/adapter_config.json +38 -0
  24. checkpoint-1248/adapter_model.safetensors +3 -0
  25. checkpoint-1248/added_tokens.json +28 -0
  26. checkpoint-1248/chat_template.jinja +86 -0
  27. checkpoint-1248/merges.txt +0 -0
  28. checkpoint-1248/optimizer.pt +3 -0
  29. checkpoint-1248/rng_state.pth +3 -0
  30. checkpoint-1248/scheduler.pt +3 -0
  31. checkpoint-1248/special_tokens_map.json +31 -0
  32. checkpoint-1248/tokenizer.json +3 -0
  33. checkpoint-1248/tokenizer_config.json +240 -0
  34. checkpoint-1248/trainer_state.json +1230 -0
  35. checkpoint-1248/training_args.bin +3 -0
  36. checkpoint-1248/vocab.json +0 -0
  37. config.json +70 -0
  38. generation_config.json +14 -0
  39. merges.txt +0 -0
  40. model-00001-of-00002.safetensors +3 -0
  41. model-00002-of-00002.safetensors +3 -0
  42. model.safetensors.index.json +406 -0
  43. special_tokens_map.json +31 -0
  44. tokenizer.json +3 -0
  45. tokenizer_config.json +240 -0
  46. vocab.json +0 -0
.gitattributes CHANGED
@@ -33,3 +33,6 @@ 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
+ checkpoint-1200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-1248/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen3-4B-Instruct-2507
3
+ datasets:
4
+ - u-10bei/sft_alfworld_trajectory_dataset_v5
5
+ - u-10bei/dbbench_sft_dataset_react
6
+ - u-10bei/dbbench_sft_dataset_react_v2
7
+ - u-10bei/dbbench_sft_dataset_react_v3
8
+ - u-10bei/dbbench_sft_dataset_react_v4
9
+ language:
10
+ - en
11
+ license: apache-2.0
12
+ library_name: peft
13
+ pipeline_tag: text-generation
14
+ tags:
15
+ - lora
16
+ - agent
17
+ - tool-use
18
+ - alfworld
19
+ - dbbench
20
+ ---
21
+
22
+ # Qwen3-4B ALFWorld+DBBench Mixed LoRA Adapter (r=64)
23
+
24
+ This repository provides a **LoRA adapter** fine-tuned from
25
+ **Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
26
+
27
+ This repository contains **LoRA adapter weights only**.
28
+ The base model must be loaded separately.
29
+
30
+ ## Training Objective
31
+
32
+ This adapter is trained to improve **multi-turn agent task performance**
33
+ on ALFWorld (household tasks) and DBBench (database operations).
34
+
35
+ Loss is applied to **all assistant turns** in the multi-turn trajectory,
36
+ enabling the model to learn environment observation, action selection,
37
+ tool use, and recovery from errors.
38
+
39
+ ## Training Configuration
40
+
41
+ - Base model: Qwen/Qwen3-4B-Instruct-2507
42
+ - Method: LoRA (full precision base)
43
+ - Max sequence length: 2048
44
+ - Epochs: 2
45
+ - Learning rate: 2e-04
46
+ - LoRA: r=64, alpha=128
47
+
48
+ ## Usage
49
+
50
+ ```python
51
+ from transformers import AutoModelForCausalLM, AutoTokenizer
52
+ from peft import PeftModel
53
+ import torch
54
+
55
+ base = "Qwen/Qwen3-4B-Instruct-2507"
56
+ adapter = "your_id/your-repo"
57
+
58
+ tokenizer = AutoTokenizer.from_pretrained(base)
59
+ model = AutoModelForCausalLM.from_pretrained(
60
+ base,
61
+ torch_dtype=torch.float16,
62
+ device_map="auto",
63
+ )
64
+ model = PeftModel.from_pretrained(model, adapter)
65
+ ```
66
+
67
+ ## Sources & Terms (IMPORTANT)
68
+
69
+ Training data: u-10bei/sft_alfworld_trajectory_dataset_v5 + u-10bei/dbbench_sft_dataset_react v1-v4
70
+
71
+ Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
72
+ Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.
adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "Qwen3ForCausalLM",
5
+ "parent_library": "transformers.models.qwen3.modeling_qwen3",
6
+ "unsloth_fixed": true
7
+ },
8
+ "base_model_name_or_path": "unsloth/Qwen3-4B-Instruct-2507",
9
+ "bias": "none",
10
+ "fan_in_fan_out": false,
11
+ "inference_mode": true,
12
+ "init_lora_weights": true,
13
+ "layer_replication": null,
14
+ "layers_pattern": null,
15
+ "layers_to_transform": null,
16
+ "loftq_config": {},
17
+ "lora_alpha": 128,
18
+ "lora_dropout": 0.0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 64,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "o_proj",
28
+ "k_proj",
29
+ "v_proj",
30
+ "q_proj",
31
+ "up_proj",
32
+ "down_proj",
33
+ "gate_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24fadd1bbdadb72f0d19af6ebbcd53947331a0d1cbfce80fc23908475bceb433
3
+ size 528550256
added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
chat_template.jinja ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# 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>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\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" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- endif %}
checkpoint-1200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen3-4B-Instruct-2507
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
checkpoint-1200/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "Qwen3ForCausalLM",
5
+ "parent_library": "transformers.models.qwen3.modeling_qwen3",
6
+ "unsloth_fixed": true
7
+ },
8
+ "base_model_name_or_path": "unsloth/Qwen3-4B-Instruct-2507",
9
+ "bias": "none",
10
+ "fan_in_fan_out": false,
11
+ "inference_mode": true,
12
+ "init_lora_weights": true,
13
+ "layer_replication": null,
14
+ "layers_pattern": null,
15
+ "layers_to_transform": null,
16
+ "loftq_config": {},
17
+ "lora_alpha": 128,
18
+ "lora_dropout": 0.0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 64,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "o_proj",
28
+ "k_proj",
29
+ "v_proj",
30
+ "q_proj",
31
+ "up_proj",
32
+ "down_proj",
33
+ "gate_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
checkpoint-1200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:712894cb8f4677b39d8f9f2bd9ecff906c56c2182e7fc5db78d343bc93189145
3
+ size 528550256
checkpoint-1200/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
checkpoint-1200/chat_template.jinja ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# 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>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\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" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- endif %}
checkpoint-1200/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0662abbea1f07db43ac8ee143f9bda6212a639db278d7d366a6cdf7ac41a0818
3
+ size 1057397963
checkpoint-1200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:638943c92f67ff840226f3c78cdb8e777674298a9d58f3525fc21f93b040e9d3
3
+ size 14645
checkpoint-1200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04a29308c2c74fa93360c6c85d42fd14cd006ec959cab7c142b5726183a55b01
3
+ size 1465
checkpoint-1200/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|vision_pad|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-1200/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
checkpoint-1200/tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|vision_pad|>",
236
+ "padding_side": "right",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
checkpoint-1200/trainer_state.json ADDED
@@ -0,0 +1,1194 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.9238171611868484,
6
+ "eval_steps": 30,
7
+ "global_step": 1200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01603849238171612,
14
+ "grad_norm": 9.394665718078613,
15
+ "learning_rate": 1.44e-05,
16
+ "loss": 2.4438,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03207698476343224,
21
+ "grad_norm": 0.7643827199935913,
22
+ "learning_rate": 3.04e-05,
23
+ "loss": 1.0643,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.048115477145148355,
28
+ "grad_norm": 0.95888352394104,
29
+ "learning_rate": 4.64e-05,
30
+ "loss": 0.6802,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.048115477145148355,
35
+ "eval_loss": 0.5278236865997314,
36
+ "eval_runtime": 51.9659,
37
+ "eval_samples_per_second": 5.061,
38
+ "eval_steps_per_second": 2.54,
39
+ "step": 30
40
+ },
41
+ {
42
+ "epoch": 0.06415396952686447,
43
+ "grad_norm": 0.8735707998275757,
44
+ "learning_rate": 6.24e-05,
45
+ "loss": 0.4503,
46
+ "step": 40
47
+ },
48
+ {
49
+ "epoch": 0.08019246190858059,
50
+ "grad_norm": 0.648636519908905,
51
+ "learning_rate": 7.840000000000001e-05,
52
+ "loss": 0.3343,
53
+ "step": 50
54
+ },
55
+ {
56
+ "epoch": 0.09623095429029671,
57
+ "grad_norm": 0.5771777629852295,
58
+ "learning_rate": 9.44e-05,
59
+ "loss": 0.2846,
60
+ "step": 60
61
+ },
62
+ {
63
+ "epoch": 0.09623095429029671,
64
+ "eval_loss": 0.2555956244468689,
65
+ "eval_runtime": 51.322,
66
+ "eval_samples_per_second": 5.125,
67
+ "eval_steps_per_second": 2.572,
68
+ "step": 60
69
+ },
70
+ {
71
+ "epoch": 0.11226944667201283,
72
+ "grad_norm": 0.5190573930740356,
73
+ "learning_rate": 0.00011040000000000001,
74
+ "loss": 0.2612,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 0.12830793905372895,
79
+ "grad_norm": 0.5709512829780579,
80
+ "learning_rate": 0.0001264,
81
+ "loss": 0.2053,
82
+ "step": 80
83
+ },
84
+ {
85
+ "epoch": 0.14434643143544507,
86
+ "grad_norm": 0.5518093705177307,
87
+ "learning_rate": 0.0001424,
88
+ "loss": 0.1978,
89
+ "step": 90
90
+ },
91
+ {
92
+ "epoch": 0.14434643143544507,
93
+ "eval_loss": 0.18320685625076294,
94
+ "eval_runtime": 51.4345,
95
+ "eval_samples_per_second": 5.113,
96
+ "eval_steps_per_second": 2.566,
97
+ "step": 90
98
+ },
99
+ {
100
+ "epoch": 0.16038492381716118,
101
+ "grad_norm": 1.0181713104248047,
102
+ "learning_rate": 0.00015840000000000003,
103
+ "loss": 0.196,
104
+ "step": 100
105
+ },
106
+ {
107
+ "epoch": 0.1764234161988773,
108
+ "grad_norm": 0.46093398332595825,
109
+ "learning_rate": 0.0001744,
110
+ "loss": 0.1986,
111
+ "step": 110
112
+ },
113
+ {
114
+ "epoch": 0.19246190858059342,
115
+ "grad_norm": 0.4132508635520935,
116
+ "learning_rate": 0.0001904,
117
+ "loss": 0.1498,
118
+ "step": 120
119
+ },
120
+ {
121
+ "epoch": 0.19246190858059342,
122
+ "eval_loss": 0.15674413740634918,
123
+ "eval_runtime": 51.4011,
124
+ "eval_samples_per_second": 5.117,
125
+ "eval_steps_per_second": 2.568,
126
+ "step": 120
127
+ },
128
+ {
129
+ "epoch": 0.20850040096230954,
130
+ "grad_norm": 0.8875346779823303,
131
+ "learning_rate": 0.00019999373925971706,
132
+ "loss": 0.1678,
133
+ "step": 130
134
+ },
135
+ {
136
+ "epoch": 0.22453889334402566,
137
+ "grad_norm": 0.42169156670570374,
138
+ "learning_rate": 0.0001999233149342545,
139
+ "loss": 0.1747,
140
+ "step": 140
141
+ },
142
+ {
143
+ "epoch": 0.24057738572574178,
144
+ "grad_norm": 0.496420681476593,
145
+ "learning_rate": 0.0001997746956522446,
146
+ "loss": 0.1556,
147
+ "step": 150
148
+ },
149
+ {
150
+ "epoch": 0.24057738572574178,
151
+ "eval_loss": 0.14000150561332703,
152
+ "eval_runtime": 51.4316,
153
+ "eval_samples_per_second": 5.114,
154
+ "eval_steps_per_second": 2.567,
155
+ "step": 150
156
+ },
157
+ {
158
+ "epoch": 0.2566158781074579,
159
+ "grad_norm": 0.3014488220214844,
160
+ "learning_rate": 0.0001995479977156566,
161
+ "loss": 0.1432,
162
+ "step": 160
163
+ },
164
+ {
165
+ "epoch": 0.272654370489174,
166
+ "grad_norm": 0.2620065212249756,
167
+ "learning_rate": 0.00019924339852688463,
168
+ "loss": 0.1459,
169
+ "step": 170
170
+ },
171
+ {
172
+ "epoch": 0.28869286287089013,
173
+ "grad_norm": 0.16078414022922516,
174
+ "learning_rate": 0.00019886113644992158,
175
+ "loss": 0.1305,
176
+ "step": 180
177
+ },
178
+ {
179
+ "epoch": 0.28869286287089013,
180
+ "eval_loss": 0.13560178875923157,
181
+ "eval_runtime": 51.4466,
182
+ "eval_samples_per_second": 5.112,
183
+ "eval_steps_per_second": 2.566,
184
+ "step": 180
185
+ },
186
+ {
187
+ "epoch": 0.30473135525260625,
188
+ "grad_norm": 0.43932297825813293,
189
+ "learning_rate": 0.00019840151062382741,
190
+ "loss": 0.1319,
191
+ "step": 190
192
+ },
193
+ {
194
+ "epoch": 0.32076984763432237,
195
+ "grad_norm": 0.2900855541229248,
196
+ "learning_rate": 0.000197864880728638,
197
+ "loss": 0.1385,
198
+ "step": 200
199
+ },
200
+ {
201
+ "epoch": 0.3368083400160385,
202
+ "grad_norm": 0.217300146818161,
203
+ "learning_rate": 0.00019725166670389764,
204
+ "loss": 0.1378,
205
+ "step": 210
206
+ },
207
+ {
208
+ "epoch": 0.3368083400160385,
209
+ "eval_loss": 0.12454783171415329,
210
+ "eval_runtime": 51.3956,
211
+ "eval_samples_per_second": 5.117,
212
+ "eval_steps_per_second": 2.568,
213
+ "step": 210
214
+ },
215
+ {
216
+ "epoch": 0.3528468323977546,
217
+ "grad_norm": 0.4188595712184906,
218
+ "learning_rate": 0.00019656234842003545,
219
+ "loss": 0.1385,
220
+ "step": 220
221
+ },
222
+ {
223
+ "epoch": 0.3688853247794707,
224
+ "grad_norm": 0.2888878285884857,
225
+ "learning_rate": 0.00019579746530284296,
226
+ "loss": 0.1325,
227
+ "step": 230
228
+ },
229
+ {
230
+ "epoch": 0.38492381716118684,
231
+ "grad_norm": 0.34402385354042053,
232
+ "learning_rate": 0.00019495761591134677,
233
+ "loss": 0.1317,
234
+ "step": 240
235
+ },
236
+ {
237
+ "epoch": 0.38492381716118684,
238
+ "eval_loss": 0.13386917114257812,
239
+ "eval_runtime": 51.6803,
240
+ "eval_samples_per_second": 5.089,
241
+ "eval_steps_per_second": 2.554,
242
+ "step": 240
243
+ },
244
+ {
245
+ "epoch": 0.40096230954290296,
246
+ "grad_norm": 1.1451412439346313,
247
+ "learning_rate": 0.00019404345746940608,
248
+ "loss": 0.3843,
249
+ "step": 250
250
+ },
251
+ {
252
+ "epoch": 0.4170008019246191,
253
+ "grad_norm": 0.2417556643486023,
254
+ "learning_rate": 0.00019305570535140272,
255
+ "loss": 0.1433,
256
+ "step": 260
257
+ },
258
+ {
259
+ "epoch": 0.4330392943063352,
260
+ "grad_norm": 1.9079967737197876,
261
+ "learning_rate": 0.0001919951325224249,
262
+ "loss": 0.1645,
263
+ "step": 270
264
+ },
265
+ {
266
+ "epoch": 0.4330392943063352,
267
+ "eval_loss": 0.13291145861148834,
268
+ "eval_runtime": 51.4824,
269
+ "eval_samples_per_second": 5.109,
270
+ "eval_steps_per_second": 2.564,
271
+ "step": 270
272
+ },
273
+ {
274
+ "epoch": 0.4490777866880513,
275
+ "grad_norm": 0.18921196460723877,
276
+ "learning_rate": 0.0001908625689333838,
277
+ "loss": 0.1315,
278
+ "step": 280
279
+ },
280
+ {
281
+ "epoch": 0.46511627906976744,
282
+ "grad_norm": 0.19202928245067596,
283
+ "learning_rate": 0.00018965890087153575,
284
+ "loss": 0.1368,
285
+ "step": 290
286
+ },
287
+ {
288
+ "epoch": 0.48115477145148355,
289
+ "grad_norm": 0.22364425659179688,
290
+ "learning_rate": 0.00018838507026691832,
291
+ "loss": 0.12,
292
+ "step": 300
293
+ },
294
+ {
295
+ "epoch": 0.48115477145148355,
296
+ "eval_loss": 0.119777150452137,
297
+ "eval_runtime": 51.3871,
298
+ "eval_samples_per_second": 5.118,
299
+ "eval_steps_per_second": 2.569,
300
+ "step": 300
301
+ },
302
+ {
303
+ "epoch": 0.4971932638331997,
304
+ "grad_norm": 0.85606849193573,
305
+ "learning_rate": 0.00018704207395524338,
306
+ "loss": 0.1343,
307
+ "step": 310
308
+ },
309
+ {
310
+ "epoch": 0.5132317562149158,
311
+ "grad_norm": 0.22195890545845032,
312
+ "learning_rate": 0.00018563096289782367,
313
+ "loss": 0.1306,
314
+ "step": 320
315
+ },
316
+ {
317
+ "epoch": 0.529270248596632,
318
+ "grad_norm": 0.14963646233081818,
319
+ "learning_rate": 0.00018415284135914333,
320
+ "loss": 0.1105,
321
+ "step": 330
322
+ },
323
+ {
324
+ "epoch": 0.529270248596632,
325
+ "eval_loss": 0.11582240462303162,
326
+ "eval_runtime": 51.3905,
327
+ "eval_samples_per_second": 5.118,
328
+ "eval_steps_per_second": 2.569,
329
+ "step": 330
330
+ },
331
+ {
332
+ "epoch": 0.545308740978348,
333
+ "grad_norm": 0.18346640467643738,
334
+ "learning_rate": 0.0001826088660427161,
335
+ "loss": 0.1211,
336
+ "step": 340
337
+ },
338
+ {
339
+ "epoch": 0.5613472333600642,
340
+ "grad_norm": 0.11578662693500519,
341
+ "learning_rate": 0.00018100024518590737,
342
+ "loss": 0.1155,
343
+ "step": 350
344
+ },
345
+ {
346
+ "epoch": 0.5773857257417803,
347
+ "grad_norm": 0.26045721769332886,
348
+ "learning_rate": 0.00017932823761442843,
349
+ "loss": 0.1244,
350
+ "step": 360
351
+ },
352
+ {
353
+ "epoch": 0.5773857257417803,
354
+ "eval_loss": 0.11565632373094559,
355
+ "eval_runtime": 51.4124,
356
+ "eval_samples_per_second": 5.115,
357
+ "eval_steps_per_second": 2.567,
358
+ "step": 360
359
+ },
360
+ {
361
+ "epoch": 0.5934242181234964,
362
+ "grad_norm": 0.1874534785747528,
363
+ "learning_rate": 0.00017759415175724294,
364
+ "loss": 0.1143,
365
+ "step": 370
366
+ },
367
+ {
368
+ "epoch": 0.6094627105052125,
369
+ "grad_norm": 0.2457660734653473,
370
+ "learning_rate": 0.00017579934462265607,
371
+ "loss": 0.1218,
372
+ "step": 380
373
+ },
374
+ {
375
+ "epoch": 0.6255012028869287,
376
+ "grad_norm": 0.18305718898773193,
377
+ "learning_rate": 0.00017394522073638832,
378
+ "loss": 0.1246,
379
+ "step": 390
380
+ },
381
+ {
382
+ "epoch": 0.6255012028869287,
383
+ "eval_loss": 0.11496119201183319,
384
+ "eval_runtime": 51.454,
385
+ "eval_samples_per_second": 5.111,
386
+ "eval_steps_per_second": 2.565,
387
+ "step": 390
388
+ },
389
+ {
390
+ "epoch": 0.6415396952686447,
391
+ "grad_norm": 0.07789923995733261,
392
+ "learning_rate": 0.0001720332310424643,
393
+ "loss": 0.1121,
394
+ "step": 400
395
+ },
396
+ {
397
+ "epoch": 0.6575781876503609,
398
+ "grad_norm": 0.28116437792778015,
399
+ "learning_rate": 0.00017006487176777685,
400
+ "loss": 0.1226,
401
+ "step": 410
402
+ },
403
+ {
404
+ "epoch": 0.673616680032077,
405
+ "grad_norm": 0.3152724802494049,
406
+ "learning_rate": 0.0001680416832512155,
407
+ "loss": 0.1183,
408
+ "step": 420
409
+ },
410
+ {
411
+ "epoch": 0.673616680032077,
412
+ "eval_loss": 0.1126837432384491,
413
+ "eval_runtime": 51.5959,
414
+ "eval_samples_per_second": 5.097,
415
+ "eval_steps_per_second": 2.558,
416
+ "step": 420
417
+ },
418
+ {
419
+ "epoch": 0.6896551724137931,
420
+ "grad_norm": 0.14282774925231934,
421
+ "learning_rate": 0.00016596524873827443,
422
+ "loss": 0.104,
423
+ "step": 430
424
+ },
425
+ {
426
+ "epoch": 0.7056936647955092,
427
+ "grad_norm": 0.11272551864385605,
428
+ "learning_rate": 0.0001638371931420845,
429
+ "loss": 0.1221,
430
+ "step": 440
431
+ },
432
+ {
433
+ "epoch": 0.7217321571772254,
434
+ "grad_norm": 0.18691876530647278,
435
+ "learning_rate": 0.0001616591817718379,
436
+ "loss": 0.1205,
437
+ "step": 450
438
+ },
439
+ {
440
+ "epoch": 0.7217321571772254,
441
+ "eval_loss": 0.11374854296445847,
442
+ "eval_runtime": 51.4403,
443
+ "eval_samples_per_second": 5.113,
444
+ "eval_steps_per_second": 2.566,
445
+ "step": 450
446
+ },
447
+ {
448
+ "epoch": 0.7377706495589414,
449
+ "grad_norm": 0.10991021245718002,
450
+ "learning_rate": 0.000159432919029601,
451
+ "loss": 0.1075,
452
+ "step": 460
453
+ },
454
+ {
455
+ "epoch": 0.7538091419406576,
456
+ "grad_norm": 0.368667870759964,
457
+ "learning_rate": 0.0001571601470765352,
458
+ "loss": 0.1139,
459
+ "step": 470
460
+ },
461
+ {
462
+ "epoch": 0.7698476343223737,
463
+ "grad_norm": 0.10450360178947449,
464
+ "learning_rate": 0.00015484264446956916,
465
+ "loss": 0.1126,
466
+ "step": 480
467
+ },
468
+ {
469
+ "epoch": 0.7698476343223737,
470
+ "eval_loss": 0.11422113329172134,
471
+ "eval_runtime": 51.4861,
472
+ "eval_samples_per_second": 5.108,
473
+ "eval_steps_per_second": 2.564,
474
+ "step": 480
475
+ },
476
+ {
477
+ "epoch": 0.7858861267040899,
478
+ "grad_norm": 0.11498294025659561,
479
+ "learning_rate": 0.00015248222476958972,
480
+ "loss": 0.116,
481
+ "step": 490
482
+ },
483
+ {
484
+ "epoch": 0.8019246190858059,
485
+ "grad_norm": 0.14388644695281982,
486
+ "learning_rate": 0.00015008073512224045,
487
+ "loss": 0.1186,
488
+ "step": 500
489
+ },
490
+ {
491
+ "epoch": 0.8179631114675221,
492
+ "grad_norm": 0.1251271665096283,
493
+ "learning_rate": 0.00014764005481243854,
494
+ "loss": 0.1176,
495
+ "step": 510
496
+ },
497
+ {
498
+ "epoch": 0.8179631114675221,
499
+ "eval_loss": 0.11191003024578094,
500
+ "eval_runtime": 51.3165,
501
+ "eval_samples_per_second": 5.125,
502
+ "eval_steps_per_second": 2.572,
503
+ "step": 510
504
+ },
505
+ {
506
+ "epoch": 0.8340016038492382,
507
+ "grad_norm": 0.25354036688804626,
508
+ "learning_rate": 0.00014516209379374076,
509
+ "loss": 0.1219,
510
+ "step": 520
511
+ },
512
+ {
513
+ "epoch": 0.8500400962309543,
514
+ "grad_norm": 0.24119634926319122,
515
+ "learning_rate": 0.0001426487911937102,
516
+ "loss": 0.1222,
517
+ "step": 530
518
+ },
519
+ {
520
+ "epoch": 0.8660785886126704,
521
+ "grad_norm": 0.1247166320681572,
522
+ "learning_rate": 0.00014010211379645256,
523
+ "loss": 0.1164,
524
+ "step": 540
525
+ },
526
+ {
527
+ "epoch": 0.8660785886126704,
528
+ "eval_loss": 0.11168860644102097,
529
+ "eval_runtime": 51.5163,
530
+ "eval_samples_per_second": 5.105,
531
+ "eval_steps_per_second": 2.562,
532
+ "step": 540
533
+ },
534
+ {
535
+ "epoch": 0.8821170809943866,
536
+ "grad_norm": 0.11632517725229263,
537
+ "learning_rate": 0.0001375240545035099,
538
+ "loss": 0.1016,
539
+ "step": 550
540
+ },
541
+ {
542
+ "epoch": 0.8981555733761026,
543
+ "grad_norm": 0.11122917383909225,
544
+ "learning_rate": 0.00013491663077431614,
545
+ "loss": 0.1207,
546
+ "step": 560
547
+ },
548
+ {
549
+ "epoch": 0.9141940657578188,
550
+ "grad_norm": 0.13945281505584717,
551
+ "learning_rate": 0.00013228188304743505,
552
+ "loss": 0.1169,
553
+ "step": 570
554
+ },
555
+ {
556
+ "epoch": 0.9141940657578188,
557
+ "eval_loss": 0.10964255779981613,
558
+ "eval_runtime": 51.5075,
559
+ "eval_samples_per_second": 5.106,
560
+ "eval_steps_per_second": 2.563,
561
+ "step": 570
562
+ },
563
+ {
564
+ "epoch": 0.9302325581395349,
565
+ "grad_norm": 0.10248645395040512,
566
+ "learning_rate": 0.00012962187314381548,
567
+ "loss": 0.1032,
568
+ "step": 580
569
+ },
570
+ {
571
+ "epoch": 0.946271050521251,
572
+ "grad_norm": 0.10369589179754257,
573
+ "learning_rate": 0.00012693868265331433,
574
+ "loss": 0.1219,
575
+ "step": 590
576
+ },
577
+ {
578
+ "epoch": 0.9623095429029671,
579
+ "grad_norm": 0.09495269507169724,
580
+ "learning_rate": 0.00012423441130574888,
581
+ "loss": 0.1139,
582
+ "step": 600
583
+ },
584
+ {
585
+ "epoch": 0.9623095429029671,
586
+ "eval_loss": 0.1103595569729805,
587
+ "eval_runtime": 51.7198,
588
+ "eval_samples_per_second": 5.085,
589
+ "eval_steps_per_second": 2.552,
590
+ "step": 600
591
+ },
592
+ {
593
+ "epoch": 0.9783480352846833,
594
+ "grad_norm": 0.10655952244997025,
595
+ "learning_rate": 0.00012151117532775409,
596
+ "loss": 0.1131,
597
+ "step": 610
598
+ },
599
+ {
600
+ "epoch": 0.9943865276663993,
601
+ "grad_norm": 0.07204799354076385,
602
+ "learning_rate": 0.00011877110578673005,
603
+ "loss": 0.1165,
604
+ "step": 620
605
+ },
606
+ {
607
+ "epoch": 1.0096230954290297,
608
+ "grad_norm": 0.1082656979560852,
609
+ "learning_rate": 0.00011601634692317597,
610
+ "loss": 0.1177,
611
+ "step": 630
612
+ },
613
+ {
614
+ "epoch": 1.0096230954290297,
615
+ "eval_loss": 0.10991596430540085,
616
+ "eval_runtime": 51.588,
617
+ "eval_samples_per_second": 5.098,
618
+ "eval_steps_per_second": 2.559,
619
+ "step": 630
620
+ },
621
+ {
622
+ "epoch": 1.0256615878107458,
623
+ "grad_norm": 0.10015016794204712,
624
+ "learning_rate": 0.0001132490544727155,
625
+ "loss": 0.1221,
626
+ "step": 640
627
+ },
628
+ {
629
+ "epoch": 1.0417000801924619,
630
+ "grad_norm": 0.12009429931640625,
631
+ "learning_rate": 0.00011047139397912647,
632
+ "loss": 0.1096,
633
+ "step": 650
634
+ },
635
+ {
636
+ "epoch": 1.057738572574178,
637
+ "grad_norm": 0.09907736629247665,
638
+ "learning_rate": 0.00010768553909969538,
639
+ "loss": 0.1191,
640
+ "step": 660
641
+ },
642
+ {
643
+ "epoch": 1.057738572574178,
644
+ "eval_loss": 0.10953598469495773,
645
+ "eval_runtime": 51.5236,
646
+ "eval_samples_per_second": 5.104,
647
+ "eval_steps_per_second": 2.562,
648
+ "step": 660
649
+ },
650
+ {
651
+ "epoch": 1.0737770649558942,
652
+ "grad_norm": 0.08365555107593536,
653
+ "learning_rate": 0.00010489366990422264,
654
+ "loss": 0.1113,
655
+ "step": 670
656
+ },
657
+ {
658
+ "epoch": 1.0898155573376103,
659
+ "grad_norm": 0.0640728697180748,
660
+ "learning_rate": 0.00010209797116900968,
661
+ "loss": 0.1085,
662
+ "step": 680
663
+ },
664
+ {
665
+ "epoch": 1.1058540497193263,
666
+ "grad_norm": 0.10259856283664703,
667
+ "learning_rate": 9.93006306671629e-05,
668
+ "loss": 0.1076,
669
+ "step": 690
670
+ },
671
+ {
672
+ "epoch": 1.1058540497193263,
673
+ "eval_loss": 0.10963255167007446,
674
+ "eval_runtime": 51.5303,
675
+ "eval_samples_per_second": 5.104,
676
+ "eval_steps_per_second": 2.562,
677
+ "step": 690
678
+ },
679
+ {
680
+ "epoch": 1.1218925421010426,
681
+ "grad_norm": 0.0759560614824295,
682
+ "learning_rate": 9.650383745655265e-05,
683
+ "loss": 0.1097,
684
+ "step": 700
685
+ },
686
+ {
687
+ "epoch": 1.1379310344827587,
688
+ "grad_norm": 0.08842267841100693,
689
+ "learning_rate": 9.370978016676681e-05,
690
+ "loss": 0.1247,
691
+ "step": 710
692
+ },
693
+ {
694
+ "epoch": 1.1539695268644747,
695
+ "grad_norm": 0.09709272533655167,
696
+ "learning_rate": 9.092064528639916e-05,
697
+ "loss": 0.1078,
698
+ "step": 720
699
+ },
700
+ {
701
+ "epoch": 1.1539695268644747,
702
+ "eval_loss": 0.10957112163305283,
703
+ "eval_runtime": 51.5695,
704
+ "eval_samples_per_second": 5.1,
705
+ "eval_steps_per_second": 2.56,
706
+ "step": 720
707
+ },
708
+ {
709
+ "epoch": 1.1700080192461908,
710
+ "grad_norm": 0.11856944113969803,
711
+ "learning_rate": 8.81386154520138e-05,
712
+ "loss": 0.1113,
713
+ "step": 730
714
+ },
715
+ {
716
+ "epoch": 1.1860465116279069,
717
+ "grad_norm": 0.09656749665737152,
718
+ "learning_rate": 8.536586774012336e-05,
719
+ "loss": 0.114,
720
+ "step": 740
721
+ },
722
+ {
723
+ "epoch": 1.2020850040096231,
724
+ "grad_norm": 0.10089857876300812,
725
+ "learning_rate": 8.260457196351871e-05,
726
+ "loss": 0.1079,
727
+ "step": 750
728
+ },
729
+ {
730
+ "epoch": 1.2020850040096231,
731
+ "eval_loss": 0.1081293597817421,
732
+ "eval_runtime": 51.6243,
733
+ "eval_samples_per_second": 5.094,
734
+ "eval_steps_per_second": 2.557,
735
+ "step": 750
736
+ },
737
+ {
738
+ "epoch": 1.2181234963913392,
739
+ "grad_norm": 0.07360345870256424,
740
+ "learning_rate": 7.985688897328264e-05,
741
+ "loss": 0.1044,
742
+ "step": 760
743
+ },
744
+ {
745
+ "epoch": 1.2341619887730553,
746
+ "grad_norm": 0.10135751962661743,
747
+ "learning_rate": 7.712496896781637e-05,
748
+ "loss": 0.1086,
749
+ "step": 770
750
+ },
751
+ {
752
+ "epoch": 1.2502004811547716,
753
+ "grad_norm": 0.07764733582735062,
754
+ "learning_rate": 7.44109498102029e-05,
755
+ "loss": 0.0998,
756
+ "step": 780
757
+ },
758
+ {
759
+ "epoch": 1.2502004811547716,
760
+ "eval_loss": 0.10887689888477325,
761
+ "eval_runtime": 51.3975,
762
+ "eval_samples_per_second": 5.117,
763
+ "eval_steps_per_second": 2.568,
764
+ "step": 780
765
+ },
766
+ {
767
+ "epoch": 1.2662389735364876,
768
+ "grad_norm": 0.09288525581359863,
769
+ "learning_rate": 7.171695535522259e-05,
770
+ "loss": 0.1129,
771
+ "step": 790
772
+ },
773
+ {
774
+ "epoch": 1.2822774659182037,
775
+ "grad_norm": 0.0900450125336647,
776
+ "learning_rate": 6.904509378733154e-05,
777
+ "loss": 0.1132,
778
+ "step": 800
779
+ },
780
+ {
781
+ "epoch": 1.2983159582999197,
782
+ "grad_norm": 0.08215230703353882,
783
+ "learning_rate": 6.639745597090246e-05,
784
+ "loss": 0.1078,
785
+ "step": 810
786
+ },
787
+ {
788
+ "epoch": 1.2983159582999197,
789
+ "eval_loss": 0.10840240865945816,
790
+ "eval_runtime": 51.5192,
791
+ "eval_samples_per_second": 5.105,
792
+ "eval_steps_per_second": 2.562,
793
+ "step": 810
794
+ },
795
+ {
796
+ "epoch": 1.3143544506816358,
797
+ "grad_norm": 0.05950262397527695,
798
+ "learning_rate": 6.377611381401958e-05,
799
+ "loss": 0.1055,
800
+ "step": 820
801
+ },
802
+ {
803
+ "epoch": 1.330392943063352,
804
+ "grad_norm": 0.06437576562166214,
805
+ "learning_rate": 6.118311864710748e-05,
806
+ "loss": 0.1012,
807
+ "step": 830
808
+ },
809
+ {
810
+ "epoch": 1.3464314354450682,
811
+ "grad_norm": 0.10620200634002686,
812
+ "learning_rate": 5.862049961766327e-05,
813
+ "loss": 0.1177,
814
+ "step": 840
815
+ },
816
+ {
817
+ "epoch": 1.3464314354450682,
818
+ "eval_loss": 0.1079765185713768,
819
+ "eval_runtime": 51.4348,
820
+ "eval_samples_per_second": 5.113,
821
+ "eval_steps_per_second": 2.566,
822
+ "step": 840
823
+ },
824
+ {
825
+ "epoch": 1.3624699278267842,
826
+ "grad_norm": 0.1097632423043251,
827
+ "learning_rate": 5.609026210234799e-05,
828
+ "loss": 0.0995,
829
+ "step": 850
830
+ },
831
+ {
832
+ "epoch": 1.3785084202085005,
833
+ "grad_norm": 0.09094393998384476,
834
+ "learning_rate": 5.359438613767951e-05,
835
+ "loss": 0.1024,
836
+ "step": 860
837
+ },
838
+ {
839
+ "epoch": 1.3945469125902166,
840
+ "grad_norm": 0.08209466189146042,
841
+ "learning_rate": 5.1134824870555875e-05,
842
+ "loss": 0.1081,
843
+ "step": 870
844
+ },
845
+ {
846
+ "epoch": 1.3945469125902166,
847
+ "eval_loss": 0.10702705383300781,
848
+ "eval_runtime": 51.3972,
849
+ "eval_samples_per_second": 5.117,
850
+ "eval_steps_per_second": 2.568,
851
+ "step": 870
852
+ },
853
+ {
854
+ "epoch": 1.4105854049719326,
855
+ "grad_norm": 0.11662867665290833,
856
+ "learning_rate": 4.871350302982077e-05,
857
+ "loss": 0.1082,
858
+ "step": 880
859
+ },
860
+ {
861
+ "epoch": 1.4266238973536487,
862
+ "grad_norm": 0.08680973947048187,
863
+ "learning_rate": 4.6332315420067604e-05,
864
+ "loss": 0.1139,
865
+ "step": 890
866
+ },
867
+ {
868
+ "epoch": 1.4426623897353648,
869
+ "grad_norm": 0.1044652909040451,
870
+ "learning_rate": 4.399312543886067e-05,
871
+ "loss": 0.1106,
872
+ "step": 900
873
+ },
874
+ {
875
+ "epoch": 1.4426623897353648,
876
+ "eval_loss": 0.10689909011125565,
877
+ "eval_runtime": 51.5936,
878
+ "eval_samples_per_second": 5.098,
879
+ "eval_steps_per_second": 2.558,
880
+ "step": 900
881
+ },
882
+ {
883
+ "epoch": 1.458700882117081,
884
+ "grad_norm": 0.08980236202478409,
885
+ "learning_rate": 4.169776361853437e-05,
886
+ "loss": 0.1091,
887
+ "step": 910
888
+ },
889
+ {
890
+ "epoch": 1.474739374498797,
891
+ "grad_norm": 0.09599462896585464,
892
+ "learning_rate": 3.944802619371041e-05,
893
+ "loss": 0.1116,
894
+ "step": 920
895
+ },
896
+ {
897
+ "epoch": 1.4907778668805132,
898
+ "grad_norm": 0.0679604634642601,
899
+ "learning_rate": 3.7245673695655015e-05,
900
+ "loss": 0.1067,
901
+ "step": 930
902
+ },
903
+ {
904
+ "epoch": 1.4907778668805132,
905
+ "eval_loss": 0.10721538215875626,
906
+ "eval_runtime": 51.5029,
907
+ "eval_samples_per_second": 5.107,
908
+ "eval_steps_per_second": 2.563,
909
+ "step": 930
910
+ },
911
+ {
912
+ "epoch": 1.5068163592622295,
913
+ "grad_norm": 0.07000099122524261,
914
+ "learning_rate": 3.5092429574576115e-05,
915
+ "loss": 0.0962,
916
+ "step": 940
917
+ },
918
+ {
919
+ "epoch": 1.5228548516439455,
920
+ "grad_norm": 0.0805450901389122,
921
+ "learning_rate": 3.298997885093748e-05,
922
+ "loss": 0.096,
923
+ "step": 950
924
+ },
925
+ {
926
+ "epoch": 1.5388933440256616,
927
+ "grad_norm": 0.08625531196594238,
928
+ "learning_rate": 3.0939966796846996e-05,
929
+ "loss": 0.1129,
930
+ "step": 960
931
+ },
932
+ {
933
+ "epoch": 1.5388933440256616,
934
+ "eval_loss": 0.10685242712497711,
935
+ "eval_runtime": 51.6956,
936
+ "eval_samples_per_second": 5.087,
937
+ "eval_steps_per_second": 2.553,
938
+ "step": 960
939
+ },
940
+ {
941
+ "epoch": 1.5549318364073779,
942
+ "grad_norm": 0.09168870002031326,
943
+ "learning_rate": 2.8943997648549104e-05,
944
+ "loss": 0.0998,
945
+ "step": 970
946
+ },
947
+ {
948
+ "epoch": 1.5709703287890937,
949
+ "grad_norm": 0.07784843444824219,
950
+ "learning_rate": 2.7003633351030566e-05,
951
+ "loss": 0.1096,
952
+ "step": 980
953
+ },
954
+ {
955
+ "epoch": 1.58700882117081,
956
+ "grad_norm": 0.09954196214675903,
957
+ "learning_rate": 2.5120392335720898e-05,
958
+ "loss": 0.1137,
959
+ "step": 990
960
+ },
961
+ {
962
+ "epoch": 1.58700882117081,
963
+ "eval_loss": 0.10643722862005234,
964
+ "eval_runtime": 51.7509,
965
+ "eval_samples_per_second": 5.082,
966
+ "eval_steps_per_second": 2.551,
967
+ "step": 990
968
+ },
969
+ {
970
+ "epoch": 1.603047313552526,
971
+ "grad_norm": 0.08735591918230057,
972
+ "learning_rate": 2.3295748332244173e-05,
973
+ "loss": 0.1096,
974
+ "step": 1000
975
+ },
976
+ {
977
+ "epoch": 1.6190858059342421,
978
+ "grad_norm": 0.12118412554264069,
979
+ "learning_rate": 2.153112921515259e-05,
980
+ "loss": 0.115,
981
+ "step": 1010
982
+ },
983
+ {
984
+ "epoch": 1.6351242983159584,
985
+ "grad_norm": 0.0717737153172493,
986
+ "learning_rate": 1.982791588654368e-05,
987
+ "loss": 0.1015,
988
+ "step": 1020
989
+ },
990
+ {
991
+ "epoch": 1.6351242983159584,
992
+ "eval_loss": 0.10614278167486191,
993
+ "eval_runtime": 51.7761,
994
+ "eval_samples_per_second": 5.08,
995
+ "eval_steps_per_second": 2.549,
996
+ "step": 1020
997
+ },
998
+ {
999
+ "epoch": 1.6511627906976745,
1000
+ "grad_norm": 0.07388223707675934,
1001
+ "learning_rate": 1.8187441195435817e-05,
1002
+ "loss": 0.1004,
1003
+ "step": 1030
1004
+ },
1005
+ {
1006
+ "epoch": 1.6672012830793905,
1007
+ "grad_norm": 0.1101582869887352,
1008
+ "learning_rate": 1.6610988894747626e-05,
1009
+ "loss": 0.1051,
1010
+ "step": 1040
1011
+ },
1012
+ {
1013
+ "epoch": 1.6832397754611068,
1014
+ "grad_norm": 0.07702717930078506,
1015
+ "learning_rate": 1.5099792636697652e-05,
1016
+ "loss": 0.1133,
1017
+ "step": 1050
1018
+ },
1019
+ {
1020
+ "epoch": 1.6832397754611068,
1021
+ "eval_loss": 0.10605080425739288,
1022
+ "eval_runtime": 51.6204,
1023
+ "eval_samples_per_second": 5.095,
1024
+ "eval_steps_per_second": 2.557,
1025
+ "step": 1050
1026
+ },
1027
+ {
1028
+ "epoch": 1.6992782678428227,
1029
+ "grad_norm": 0.10285110771656036,
1030
+ "learning_rate": 1.3655035007410178e-05,
1031
+ "loss": 0.1099,
1032
+ "step": 1060
1033
+ },
1034
+ {
1035
+ "epoch": 1.715316760224539,
1036
+ "grad_norm": 0.09180232137441635,
1037
+ "learning_rate": 1.2277846601482823e-05,
1038
+ "loss": 0.1134,
1039
+ "step": 1070
1040
+ },
1041
+ {
1042
+ "epoch": 1.731355252606255,
1043
+ "grad_norm": 0.08292191475629807,
1044
+ "learning_rate": 1.0969305137240227e-05,
1045
+ "loss": 0.1063,
1046
+ "step": 1080
1047
+ },
1048
+ {
1049
+ "epoch": 1.731355252606255,
1050
+ "eval_loss": 0.10602111369371414,
1051
+ "eval_runtime": 51.6076,
1052
+ "eval_samples_per_second": 5.096,
1053
+ "eval_steps_per_second": 2.558,
1054
+ "step": 1080
1055
+ },
1056
+ {
1057
+ "epoch": 1.747393744987971,
1058
+ "grad_norm": 0.07537797093391418,
1059
+ "learning_rate": 9.730434613365746e-06,
1060
+ "loss": 0.1113,
1061
+ "step": 1090
1062
+ },
1063
+ {
1064
+ "epoch": 1.7634322373696873,
1065
+ "grad_norm": 0.07908269017934799,
1066
+ "learning_rate": 8.562204507571914e-06,
1067
+ "loss": 0.1038,
1068
+ "step": 1100
1069
+ },
1070
+ {
1071
+ "epoch": 1.7794707297514034,
1072
+ "grad_norm": 0.12484702467918396,
1073
+ "learning_rate": 7.465529017935658e-06,
1074
+ "loss": 0.1155,
1075
+ "step": 1110
1076
+ },
1077
+ {
1078
+ "epoch": 1.7794707297514034,
1079
+ "eval_loss": 0.10594786703586578,
1080
+ "eval_runtime": 51.6233,
1081
+ "eval_samples_per_second": 5.095,
1082
+ "eval_steps_per_second": 2.557,
1083
+ "step": 1110
1084
+ },
1085
+ {
1086
+ "epoch": 1.7955092221331195,
1087
+ "grad_norm": 0.12337016314268112,
1088
+ "learning_rate": 6.4412663474931575e-06,
1089
+ "loss": 0.1158,
1090
+ "step": 1120
1091
+ },
1092
+ {
1093
+ "epoch": 1.8115477145148358,
1094
+ "grad_norm": 0.0796642079949379,
1095
+ "learning_rate": 5.490218032653205e-06,
1096
+ "loss": 0.1062,
1097
+ "step": 1130
1098
+ },
1099
+ {
1100
+ "epoch": 1.8275862068965516,
1101
+ "grad_norm": 0.062203481793403625,
1102
+ "learning_rate": 4.613128315955217e-06,
1103
+ "loss": 0.1035,
1104
+ "step": 1140
1105
+ },
1106
+ {
1107
+ "epoch": 1.8275862068965516,
1108
+ "eval_loss": 0.10584517568349838,
1109
+ "eval_runtime": 51.5844,
1110
+ "eval_samples_per_second": 5.098,
1111
+ "eval_steps_per_second": 2.559,
1112
+ "step": 1140
1113
+ },
1114
+ {
1115
+ "epoch": 1.8436246992782679,
1116
+ "grad_norm": 0.07995738089084625,
1117
+ "learning_rate": 3.810683563662476e-06,
1118
+ "loss": 0.1067,
1119
+ "step": 1150
1120
+ },
1121
+ {
1122
+ "epoch": 1.859663191659984,
1123
+ "grad_norm": 0.09624777734279633,
1124
+ "learning_rate": 3.0835117286464153e-06,
1125
+ "loss": 0.1018,
1126
+ "step": 1160
1127
+ },
1128
+ {
1129
+ "epoch": 1.8757016840417,
1130
+ "grad_norm": 0.08080890029668808,
1131
+ "learning_rate": 2.4321818589823518e-06,
1132
+ "loss": 0.0953,
1133
+ "step": 1170
1134
+ },
1135
+ {
1136
+ "epoch": 1.8757016840417,
1137
+ "eval_loss": 0.1057586520910263,
1138
+ "eval_runtime": 51.6082,
1139
+ "eval_samples_per_second": 5.096,
1140
+ "eval_steps_per_second": 2.558,
1141
+ "step": 1170
1142
+ },
1143
+ {
1144
+ "epoch": 1.8917401764234163,
1145
+ "grad_norm": 0.07521943002939224,
1146
+ "learning_rate": 1.8572036526410708e-06,
1147
+ "loss": 0.1016,
1148
+ "step": 1180
1149
+ },
1150
+ {
1151
+ "epoch": 1.9077786688051324,
1152
+ "grad_norm": 0.11767873167991638,
1153
+ "learning_rate": 1.359027058624862e-06,
1154
+ "loss": 0.1072,
1155
+ "step": 1190
1156
+ },
1157
+ {
1158
+ "epoch": 1.9238171611868484,
1159
+ "grad_norm": 0.09177617728710175,
1160
+ "learning_rate": 9.38041924860078e-07,
1161
+ "loss": 0.1093,
1162
+ "step": 1200
1163
+ },
1164
+ {
1165
+ "epoch": 1.9238171611868484,
1166
+ "eval_loss": 0.10568080097436905,
1167
+ "eval_runtime": 51.6479,
1168
+ "eval_samples_per_second": 5.092,
1169
+ "eval_steps_per_second": 2.556,
1170
+ "step": 1200
1171
+ }
1172
+ ],
1173
+ "logging_steps": 10,
1174
+ "max_steps": 1248,
1175
+ "num_input_tokens_seen": 0,
1176
+ "num_train_epochs": 2,
1177
+ "save_steps": 100,
1178
+ "stateful_callbacks": {
1179
+ "TrainerControl": {
1180
+ "args": {
1181
+ "should_epoch_stop": false,
1182
+ "should_evaluate": false,
1183
+ "should_log": false,
1184
+ "should_save": true,
1185
+ "should_training_stop": false
1186
+ },
1187
+ "attributes": {}
1188
+ }
1189
+ },
1190
+ "total_flos": 1.9442520985573786e+17,
1191
+ "train_batch_size": 2,
1192
+ "trial_name": null,
1193
+ "trial_params": null
1194
+ }
checkpoint-1200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d773b87cb37589c74f66aeb9b810be29391c13ad53402f7b3b97ecc23ea86075
3
+ size 5777
checkpoint-1200/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1248/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen3-4B-Instruct-2507
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
checkpoint-1248/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "Qwen3ForCausalLM",
5
+ "parent_library": "transformers.models.qwen3.modeling_qwen3",
6
+ "unsloth_fixed": true
7
+ },
8
+ "base_model_name_or_path": "unsloth/Qwen3-4B-Instruct-2507",
9
+ "bias": "none",
10
+ "fan_in_fan_out": false,
11
+ "inference_mode": true,
12
+ "init_lora_weights": true,
13
+ "layer_replication": null,
14
+ "layers_pattern": null,
15
+ "layers_to_transform": null,
16
+ "loftq_config": {},
17
+ "lora_alpha": 128,
18
+ "lora_dropout": 0.0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 64,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "o_proj",
28
+ "k_proj",
29
+ "v_proj",
30
+ "q_proj",
31
+ "up_proj",
32
+ "down_proj",
33
+ "gate_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
checkpoint-1248/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24fadd1bbdadb72f0d19af6ebbcd53947331a0d1cbfce80fc23908475bceb433
3
+ size 528550256
checkpoint-1248/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
checkpoint-1248/chat_template.jinja ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# 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>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\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" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- endif %}
checkpoint-1248/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1248/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78d79707b531f841b6c5c8dded99f8c4f00845906dcdac5bc683f703e1113b84
3
+ size 1057397963
checkpoint-1248/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:414689304c6383d49877a1af058092126cec7c7257197be50c12c923d31849c0
3
+ size 14645
checkpoint-1248/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c6b2bc4adbb0295714a031b007daad93c91cb3231192e37f23ab325c3445f1a
3
+ size 1465
checkpoint-1248/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|vision_pad|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-1248/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
checkpoint-1248/tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|vision_pad|>",
236
+ "padding_side": "right",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
checkpoint-1248/trainer_state.json ADDED
@@ -0,0 +1,1230 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0,
6
+ "eval_steps": 30,
7
+ "global_step": 1248,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01603849238171612,
14
+ "grad_norm": 9.394665718078613,
15
+ "learning_rate": 1.44e-05,
16
+ "loss": 2.4438,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03207698476343224,
21
+ "grad_norm": 0.7643827199935913,
22
+ "learning_rate": 3.04e-05,
23
+ "loss": 1.0643,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.048115477145148355,
28
+ "grad_norm": 0.95888352394104,
29
+ "learning_rate": 4.64e-05,
30
+ "loss": 0.6802,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.048115477145148355,
35
+ "eval_loss": 0.5278236865997314,
36
+ "eval_runtime": 51.9659,
37
+ "eval_samples_per_second": 5.061,
38
+ "eval_steps_per_second": 2.54,
39
+ "step": 30
40
+ },
41
+ {
42
+ "epoch": 0.06415396952686447,
43
+ "grad_norm": 0.8735707998275757,
44
+ "learning_rate": 6.24e-05,
45
+ "loss": 0.4503,
46
+ "step": 40
47
+ },
48
+ {
49
+ "epoch": 0.08019246190858059,
50
+ "grad_norm": 0.648636519908905,
51
+ "learning_rate": 7.840000000000001e-05,
52
+ "loss": 0.3343,
53
+ "step": 50
54
+ },
55
+ {
56
+ "epoch": 0.09623095429029671,
57
+ "grad_norm": 0.5771777629852295,
58
+ "learning_rate": 9.44e-05,
59
+ "loss": 0.2846,
60
+ "step": 60
61
+ },
62
+ {
63
+ "epoch": 0.09623095429029671,
64
+ "eval_loss": 0.2555956244468689,
65
+ "eval_runtime": 51.322,
66
+ "eval_samples_per_second": 5.125,
67
+ "eval_steps_per_second": 2.572,
68
+ "step": 60
69
+ },
70
+ {
71
+ "epoch": 0.11226944667201283,
72
+ "grad_norm": 0.5190573930740356,
73
+ "learning_rate": 0.00011040000000000001,
74
+ "loss": 0.2612,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 0.12830793905372895,
79
+ "grad_norm": 0.5709512829780579,
80
+ "learning_rate": 0.0001264,
81
+ "loss": 0.2053,
82
+ "step": 80
83
+ },
84
+ {
85
+ "epoch": 0.14434643143544507,
86
+ "grad_norm": 0.5518093705177307,
87
+ "learning_rate": 0.0001424,
88
+ "loss": 0.1978,
89
+ "step": 90
90
+ },
91
+ {
92
+ "epoch": 0.14434643143544507,
93
+ "eval_loss": 0.18320685625076294,
94
+ "eval_runtime": 51.4345,
95
+ "eval_samples_per_second": 5.113,
96
+ "eval_steps_per_second": 2.566,
97
+ "step": 90
98
+ },
99
+ {
100
+ "epoch": 0.16038492381716118,
101
+ "grad_norm": 1.0181713104248047,
102
+ "learning_rate": 0.00015840000000000003,
103
+ "loss": 0.196,
104
+ "step": 100
105
+ },
106
+ {
107
+ "epoch": 0.1764234161988773,
108
+ "grad_norm": 0.46093398332595825,
109
+ "learning_rate": 0.0001744,
110
+ "loss": 0.1986,
111
+ "step": 110
112
+ },
113
+ {
114
+ "epoch": 0.19246190858059342,
115
+ "grad_norm": 0.4132508635520935,
116
+ "learning_rate": 0.0001904,
117
+ "loss": 0.1498,
118
+ "step": 120
119
+ },
120
+ {
121
+ "epoch": 0.19246190858059342,
122
+ "eval_loss": 0.15674413740634918,
123
+ "eval_runtime": 51.4011,
124
+ "eval_samples_per_second": 5.117,
125
+ "eval_steps_per_second": 2.568,
126
+ "step": 120
127
+ },
128
+ {
129
+ "epoch": 0.20850040096230954,
130
+ "grad_norm": 0.8875346779823303,
131
+ "learning_rate": 0.00019999373925971706,
132
+ "loss": 0.1678,
133
+ "step": 130
134
+ },
135
+ {
136
+ "epoch": 0.22453889334402566,
137
+ "grad_norm": 0.42169156670570374,
138
+ "learning_rate": 0.0001999233149342545,
139
+ "loss": 0.1747,
140
+ "step": 140
141
+ },
142
+ {
143
+ "epoch": 0.24057738572574178,
144
+ "grad_norm": 0.496420681476593,
145
+ "learning_rate": 0.0001997746956522446,
146
+ "loss": 0.1556,
147
+ "step": 150
148
+ },
149
+ {
150
+ "epoch": 0.24057738572574178,
151
+ "eval_loss": 0.14000150561332703,
152
+ "eval_runtime": 51.4316,
153
+ "eval_samples_per_second": 5.114,
154
+ "eval_steps_per_second": 2.567,
155
+ "step": 150
156
+ },
157
+ {
158
+ "epoch": 0.2566158781074579,
159
+ "grad_norm": 0.3014488220214844,
160
+ "learning_rate": 0.0001995479977156566,
161
+ "loss": 0.1432,
162
+ "step": 160
163
+ },
164
+ {
165
+ "epoch": 0.272654370489174,
166
+ "grad_norm": 0.2620065212249756,
167
+ "learning_rate": 0.00019924339852688463,
168
+ "loss": 0.1459,
169
+ "step": 170
170
+ },
171
+ {
172
+ "epoch": 0.28869286287089013,
173
+ "grad_norm": 0.16078414022922516,
174
+ "learning_rate": 0.00019886113644992158,
175
+ "loss": 0.1305,
176
+ "step": 180
177
+ },
178
+ {
179
+ "epoch": 0.28869286287089013,
180
+ "eval_loss": 0.13560178875923157,
181
+ "eval_runtime": 51.4466,
182
+ "eval_samples_per_second": 5.112,
183
+ "eval_steps_per_second": 2.566,
184
+ "step": 180
185
+ },
186
+ {
187
+ "epoch": 0.30473135525260625,
188
+ "grad_norm": 0.43932297825813293,
189
+ "learning_rate": 0.00019840151062382741,
190
+ "loss": 0.1319,
191
+ "step": 190
192
+ },
193
+ {
194
+ "epoch": 0.32076984763432237,
195
+ "grad_norm": 0.2900855541229248,
196
+ "learning_rate": 0.000197864880728638,
197
+ "loss": 0.1385,
198
+ "step": 200
199
+ },
200
+ {
201
+ "epoch": 0.3368083400160385,
202
+ "grad_norm": 0.217300146818161,
203
+ "learning_rate": 0.00019725166670389764,
204
+ "loss": 0.1378,
205
+ "step": 210
206
+ },
207
+ {
208
+ "epoch": 0.3368083400160385,
209
+ "eval_loss": 0.12454783171415329,
210
+ "eval_runtime": 51.3956,
211
+ "eval_samples_per_second": 5.117,
212
+ "eval_steps_per_second": 2.568,
213
+ "step": 210
214
+ },
215
+ {
216
+ "epoch": 0.3528468323977546,
217
+ "grad_norm": 0.4188595712184906,
218
+ "learning_rate": 0.00019656234842003545,
219
+ "loss": 0.1385,
220
+ "step": 220
221
+ },
222
+ {
223
+ "epoch": 0.3688853247794707,
224
+ "grad_norm": 0.2888878285884857,
225
+ "learning_rate": 0.00019579746530284296,
226
+ "loss": 0.1325,
227
+ "step": 230
228
+ },
229
+ {
230
+ "epoch": 0.38492381716118684,
231
+ "grad_norm": 0.34402385354042053,
232
+ "learning_rate": 0.00019495761591134677,
233
+ "loss": 0.1317,
234
+ "step": 240
235
+ },
236
+ {
237
+ "epoch": 0.38492381716118684,
238
+ "eval_loss": 0.13386917114257812,
239
+ "eval_runtime": 51.6803,
240
+ "eval_samples_per_second": 5.089,
241
+ "eval_steps_per_second": 2.554,
242
+ "step": 240
243
+ },
244
+ {
245
+ "epoch": 0.40096230954290296,
246
+ "grad_norm": 1.1451412439346313,
247
+ "learning_rate": 0.00019404345746940608,
248
+ "loss": 0.3843,
249
+ "step": 250
250
+ },
251
+ {
252
+ "epoch": 0.4170008019246191,
253
+ "grad_norm": 0.2417556643486023,
254
+ "learning_rate": 0.00019305570535140272,
255
+ "loss": 0.1433,
256
+ "step": 260
257
+ },
258
+ {
259
+ "epoch": 0.4330392943063352,
260
+ "grad_norm": 1.9079967737197876,
261
+ "learning_rate": 0.0001919951325224249,
262
+ "loss": 0.1645,
263
+ "step": 270
264
+ },
265
+ {
266
+ "epoch": 0.4330392943063352,
267
+ "eval_loss": 0.13291145861148834,
268
+ "eval_runtime": 51.4824,
269
+ "eval_samples_per_second": 5.109,
270
+ "eval_steps_per_second": 2.564,
271
+ "step": 270
272
+ },
273
+ {
274
+ "epoch": 0.4490777866880513,
275
+ "grad_norm": 0.18921196460723877,
276
+ "learning_rate": 0.0001908625689333838,
277
+ "loss": 0.1315,
278
+ "step": 280
279
+ },
280
+ {
281
+ "epoch": 0.46511627906976744,
282
+ "grad_norm": 0.19202928245067596,
283
+ "learning_rate": 0.00018965890087153575,
284
+ "loss": 0.1368,
285
+ "step": 290
286
+ },
287
+ {
288
+ "epoch": 0.48115477145148355,
289
+ "grad_norm": 0.22364425659179688,
290
+ "learning_rate": 0.00018838507026691832,
291
+ "loss": 0.12,
292
+ "step": 300
293
+ },
294
+ {
295
+ "epoch": 0.48115477145148355,
296
+ "eval_loss": 0.119777150452137,
297
+ "eval_runtime": 51.3871,
298
+ "eval_samples_per_second": 5.118,
299
+ "eval_steps_per_second": 2.569,
300
+ "step": 300
301
+ },
302
+ {
303
+ "epoch": 0.4971932638331997,
304
+ "grad_norm": 0.85606849193573,
305
+ "learning_rate": 0.00018704207395524338,
306
+ "loss": 0.1343,
307
+ "step": 310
308
+ },
309
+ {
310
+ "epoch": 0.5132317562149158,
311
+ "grad_norm": 0.22195890545845032,
312
+ "learning_rate": 0.00018563096289782367,
313
+ "loss": 0.1306,
314
+ "step": 320
315
+ },
316
+ {
317
+ "epoch": 0.529270248596632,
318
+ "grad_norm": 0.14963646233081818,
319
+ "learning_rate": 0.00018415284135914333,
320
+ "loss": 0.1105,
321
+ "step": 330
322
+ },
323
+ {
324
+ "epoch": 0.529270248596632,
325
+ "eval_loss": 0.11582240462303162,
326
+ "eval_runtime": 51.3905,
327
+ "eval_samples_per_second": 5.118,
328
+ "eval_steps_per_second": 2.569,
329
+ "step": 330
330
+ },
331
+ {
332
+ "epoch": 0.545308740978348,
333
+ "grad_norm": 0.18346640467643738,
334
+ "learning_rate": 0.0001826088660427161,
335
+ "loss": 0.1211,
336
+ "step": 340
337
+ },
338
+ {
339
+ "epoch": 0.5613472333600642,
340
+ "grad_norm": 0.11578662693500519,
341
+ "learning_rate": 0.00018100024518590737,
342
+ "loss": 0.1155,
343
+ "step": 350
344
+ },
345
+ {
346
+ "epoch": 0.5773857257417803,
347
+ "grad_norm": 0.26045721769332886,
348
+ "learning_rate": 0.00017932823761442843,
349
+ "loss": 0.1244,
350
+ "step": 360
351
+ },
352
+ {
353
+ "epoch": 0.5773857257417803,
354
+ "eval_loss": 0.11565632373094559,
355
+ "eval_runtime": 51.4124,
356
+ "eval_samples_per_second": 5.115,
357
+ "eval_steps_per_second": 2.567,
358
+ "step": 360
359
+ },
360
+ {
361
+ "epoch": 0.5934242181234964,
362
+ "grad_norm": 0.1874534785747528,
363
+ "learning_rate": 0.00017759415175724294,
364
+ "loss": 0.1143,
365
+ "step": 370
366
+ },
367
+ {
368
+ "epoch": 0.6094627105052125,
369
+ "grad_norm": 0.2457660734653473,
370
+ "learning_rate": 0.00017579934462265607,
371
+ "loss": 0.1218,
372
+ "step": 380
373
+ },
374
+ {
375
+ "epoch": 0.6255012028869287,
376
+ "grad_norm": 0.18305718898773193,
377
+ "learning_rate": 0.00017394522073638832,
378
+ "loss": 0.1246,
379
+ "step": 390
380
+ },
381
+ {
382
+ "epoch": 0.6255012028869287,
383
+ "eval_loss": 0.11496119201183319,
384
+ "eval_runtime": 51.454,
385
+ "eval_samples_per_second": 5.111,
386
+ "eval_steps_per_second": 2.565,
387
+ "step": 390
388
+ },
389
+ {
390
+ "epoch": 0.6415396952686447,
391
+ "grad_norm": 0.07789923995733261,
392
+ "learning_rate": 0.0001720332310424643,
393
+ "loss": 0.1121,
394
+ "step": 400
395
+ },
396
+ {
397
+ "epoch": 0.6575781876503609,
398
+ "grad_norm": 0.28116437792778015,
399
+ "learning_rate": 0.00017006487176777685,
400
+ "loss": 0.1226,
401
+ "step": 410
402
+ },
403
+ {
404
+ "epoch": 0.673616680032077,
405
+ "grad_norm": 0.3152724802494049,
406
+ "learning_rate": 0.0001680416832512155,
407
+ "loss": 0.1183,
408
+ "step": 420
409
+ },
410
+ {
411
+ "epoch": 0.673616680032077,
412
+ "eval_loss": 0.1126837432384491,
413
+ "eval_runtime": 51.5959,
414
+ "eval_samples_per_second": 5.097,
415
+ "eval_steps_per_second": 2.558,
416
+ "step": 420
417
+ },
418
+ {
419
+ "epoch": 0.6896551724137931,
420
+ "grad_norm": 0.14282774925231934,
421
+ "learning_rate": 0.00016596524873827443,
422
+ "loss": 0.104,
423
+ "step": 430
424
+ },
425
+ {
426
+ "epoch": 0.7056936647955092,
427
+ "grad_norm": 0.11272551864385605,
428
+ "learning_rate": 0.0001638371931420845,
429
+ "loss": 0.1221,
430
+ "step": 440
431
+ },
432
+ {
433
+ "epoch": 0.7217321571772254,
434
+ "grad_norm": 0.18691876530647278,
435
+ "learning_rate": 0.0001616591817718379,
436
+ "loss": 0.1205,
437
+ "step": 450
438
+ },
439
+ {
440
+ "epoch": 0.7217321571772254,
441
+ "eval_loss": 0.11374854296445847,
442
+ "eval_runtime": 51.4403,
443
+ "eval_samples_per_second": 5.113,
444
+ "eval_steps_per_second": 2.566,
445
+ "step": 450
446
+ },
447
+ {
448
+ "epoch": 0.7377706495589414,
449
+ "grad_norm": 0.10991021245718002,
450
+ "learning_rate": 0.000159432919029601,
451
+ "loss": 0.1075,
452
+ "step": 460
453
+ },
454
+ {
455
+ "epoch": 0.7538091419406576,
456
+ "grad_norm": 0.368667870759964,
457
+ "learning_rate": 0.0001571601470765352,
458
+ "loss": 0.1139,
459
+ "step": 470
460
+ },
461
+ {
462
+ "epoch": 0.7698476343223737,
463
+ "grad_norm": 0.10450360178947449,
464
+ "learning_rate": 0.00015484264446956916,
465
+ "loss": 0.1126,
466
+ "step": 480
467
+ },
468
+ {
469
+ "epoch": 0.7698476343223737,
470
+ "eval_loss": 0.11422113329172134,
471
+ "eval_runtime": 51.4861,
472
+ "eval_samples_per_second": 5.108,
473
+ "eval_steps_per_second": 2.564,
474
+ "step": 480
475
+ },
476
+ {
477
+ "epoch": 0.7858861267040899,
478
+ "grad_norm": 0.11498294025659561,
479
+ "learning_rate": 0.00015248222476958972,
480
+ "loss": 0.116,
481
+ "step": 490
482
+ },
483
+ {
484
+ "epoch": 0.8019246190858059,
485
+ "grad_norm": 0.14388644695281982,
486
+ "learning_rate": 0.00015008073512224045,
487
+ "loss": 0.1186,
488
+ "step": 500
489
+ },
490
+ {
491
+ "epoch": 0.8179631114675221,
492
+ "grad_norm": 0.1251271665096283,
493
+ "learning_rate": 0.00014764005481243854,
494
+ "loss": 0.1176,
495
+ "step": 510
496
+ },
497
+ {
498
+ "epoch": 0.8179631114675221,
499
+ "eval_loss": 0.11191003024578094,
500
+ "eval_runtime": 51.3165,
501
+ "eval_samples_per_second": 5.125,
502
+ "eval_steps_per_second": 2.572,
503
+ "step": 510
504
+ },
505
+ {
506
+ "epoch": 0.8340016038492382,
507
+ "grad_norm": 0.25354036688804626,
508
+ "learning_rate": 0.00014516209379374076,
509
+ "loss": 0.1219,
510
+ "step": 520
511
+ },
512
+ {
513
+ "epoch": 0.8500400962309543,
514
+ "grad_norm": 0.24119634926319122,
515
+ "learning_rate": 0.0001426487911937102,
516
+ "loss": 0.1222,
517
+ "step": 530
518
+ },
519
+ {
520
+ "epoch": 0.8660785886126704,
521
+ "grad_norm": 0.1247166320681572,
522
+ "learning_rate": 0.00014010211379645256,
523
+ "loss": 0.1164,
524
+ "step": 540
525
+ },
526
+ {
527
+ "epoch": 0.8660785886126704,
528
+ "eval_loss": 0.11168860644102097,
529
+ "eval_runtime": 51.5163,
530
+ "eval_samples_per_second": 5.105,
531
+ "eval_steps_per_second": 2.562,
532
+ "step": 540
533
+ },
534
+ {
535
+ "epoch": 0.8821170809943866,
536
+ "grad_norm": 0.11632517725229263,
537
+ "learning_rate": 0.0001375240545035099,
538
+ "loss": 0.1016,
539
+ "step": 550
540
+ },
541
+ {
542
+ "epoch": 0.8981555733761026,
543
+ "grad_norm": 0.11122917383909225,
544
+ "learning_rate": 0.00013491663077431614,
545
+ "loss": 0.1207,
546
+ "step": 560
547
+ },
548
+ {
549
+ "epoch": 0.9141940657578188,
550
+ "grad_norm": 0.13945281505584717,
551
+ "learning_rate": 0.00013228188304743505,
552
+ "loss": 0.1169,
553
+ "step": 570
554
+ },
555
+ {
556
+ "epoch": 0.9141940657578188,
557
+ "eval_loss": 0.10964255779981613,
558
+ "eval_runtime": 51.5075,
559
+ "eval_samples_per_second": 5.106,
560
+ "eval_steps_per_second": 2.563,
561
+ "step": 570
562
+ },
563
+ {
564
+ "epoch": 0.9302325581395349,
565
+ "grad_norm": 0.10248645395040512,
566
+ "learning_rate": 0.00012962187314381548,
567
+ "loss": 0.1032,
568
+ "step": 580
569
+ },
570
+ {
571
+ "epoch": 0.946271050521251,
572
+ "grad_norm": 0.10369589179754257,
573
+ "learning_rate": 0.00012693868265331433,
574
+ "loss": 0.1219,
575
+ "step": 590
576
+ },
577
+ {
578
+ "epoch": 0.9623095429029671,
579
+ "grad_norm": 0.09495269507169724,
580
+ "learning_rate": 0.00012423441130574888,
581
+ "loss": 0.1139,
582
+ "step": 600
583
+ },
584
+ {
585
+ "epoch": 0.9623095429029671,
586
+ "eval_loss": 0.1103595569729805,
587
+ "eval_runtime": 51.7198,
588
+ "eval_samples_per_second": 5.085,
589
+ "eval_steps_per_second": 2.552,
590
+ "step": 600
591
+ },
592
+ {
593
+ "epoch": 0.9783480352846833,
594
+ "grad_norm": 0.10655952244997025,
595
+ "learning_rate": 0.00012151117532775409,
596
+ "loss": 0.1131,
597
+ "step": 610
598
+ },
599
+ {
600
+ "epoch": 0.9943865276663993,
601
+ "grad_norm": 0.07204799354076385,
602
+ "learning_rate": 0.00011877110578673005,
603
+ "loss": 0.1165,
604
+ "step": 620
605
+ },
606
+ {
607
+ "epoch": 1.0096230954290297,
608
+ "grad_norm": 0.1082656979560852,
609
+ "learning_rate": 0.00011601634692317597,
610
+ "loss": 0.1177,
611
+ "step": 630
612
+ },
613
+ {
614
+ "epoch": 1.0096230954290297,
615
+ "eval_loss": 0.10991596430540085,
616
+ "eval_runtime": 51.588,
617
+ "eval_samples_per_second": 5.098,
618
+ "eval_steps_per_second": 2.559,
619
+ "step": 630
620
+ },
621
+ {
622
+ "epoch": 1.0256615878107458,
623
+ "grad_norm": 0.10015016794204712,
624
+ "learning_rate": 0.0001132490544727155,
625
+ "loss": 0.1221,
626
+ "step": 640
627
+ },
628
+ {
629
+ "epoch": 1.0417000801924619,
630
+ "grad_norm": 0.12009429931640625,
631
+ "learning_rate": 0.00011047139397912647,
632
+ "loss": 0.1096,
633
+ "step": 650
634
+ },
635
+ {
636
+ "epoch": 1.057738572574178,
637
+ "grad_norm": 0.09907736629247665,
638
+ "learning_rate": 0.00010768553909969538,
639
+ "loss": 0.1191,
640
+ "step": 660
641
+ },
642
+ {
643
+ "epoch": 1.057738572574178,
644
+ "eval_loss": 0.10953598469495773,
645
+ "eval_runtime": 51.5236,
646
+ "eval_samples_per_second": 5.104,
647
+ "eval_steps_per_second": 2.562,
648
+ "step": 660
649
+ },
650
+ {
651
+ "epoch": 1.0737770649558942,
652
+ "grad_norm": 0.08365555107593536,
653
+ "learning_rate": 0.00010489366990422264,
654
+ "loss": 0.1113,
655
+ "step": 670
656
+ },
657
+ {
658
+ "epoch": 1.0898155573376103,
659
+ "grad_norm": 0.0640728697180748,
660
+ "learning_rate": 0.00010209797116900968,
661
+ "loss": 0.1085,
662
+ "step": 680
663
+ },
664
+ {
665
+ "epoch": 1.1058540497193263,
666
+ "grad_norm": 0.10259856283664703,
667
+ "learning_rate": 9.93006306671629e-05,
668
+ "loss": 0.1076,
669
+ "step": 690
670
+ },
671
+ {
672
+ "epoch": 1.1058540497193263,
673
+ "eval_loss": 0.10963255167007446,
674
+ "eval_runtime": 51.5303,
675
+ "eval_samples_per_second": 5.104,
676
+ "eval_steps_per_second": 2.562,
677
+ "step": 690
678
+ },
679
+ {
680
+ "epoch": 1.1218925421010426,
681
+ "grad_norm": 0.0759560614824295,
682
+ "learning_rate": 9.650383745655265e-05,
683
+ "loss": 0.1097,
684
+ "step": 700
685
+ },
686
+ {
687
+ "epoch": 1.1379310344827587,
688
+ "grad_norm": 0.08842267841100693,
689
+ "learning_rate": 9.370978016676681e-05,
690
+ "loss": 0.1247,
691
+ "step": 710
692
+ },
693
+ {
694
+ "epoch": 1.1539695268644747,
695
+ "grad_norm": 0.09709272533655167,
696
+ "learning_rate": 9.092064528639916e-05,
697
+ "loss": 0.1078,
698
+ "step": 720
699
+ },
700
+ {
701
+ "epoch": 1.1539695268644747,
702
+ "eval_loss": 0.10957112163305283,
703
+ "eval_runtime": 51.5695,
704
+ "eval_samples_per_second": 5.1,
705
+ "eval_steps_per_second": 2.56,
706
+ "step": 720
707
+ },
708
+ {
709
+ "epoch": 1.1700080192461908,
710
+ "grad_norm": 0.11856944113969803,
711
+ "learning_rate": 8.81386154520138e-05,
712
+ "loss": 0.1113,
713
+ "step": 730
714
+ },
715
+ {
716
+ "epoch": 1.1860465116279069,
717
+ "grad_norm": 0.09656749665737152,
718
+ "learning_rate": 8.536586774012336e-05,
719
+ "loss": 0.114,
720
+ "step": 740
721
+ },
722
+ {
723
+ "epoch": 1.2020850040096231,
724
+ "grad_norm": 0.10089857876300812,
725
+ "learning_rate": 8.260457196351871e-05,
726
+ "loss": 0.1079,
727
+ "step": 750
728
+ },
729
+ {
730
+ "epoch": 1.2020850040096231,
731
+ "eval_loss": 0.1081293597817421,
732
+ "eval_runtime": 51.6243,
733
+ "eval_samples_per_second": 5.094,
734
+ "eval_steps_per_second": 2.557,
735
+ "step": 750
736
+ },
737
+ {
738
+ "epoch": 1.2181234963913392,
739
+ "grad_norm": 0.07360345870256424,
740
+ "learning_rate": 7.985688897328264e-05,
741
+ "loss": 0.1044,
742
+ "step": 760
743
+ },
744
+ {
745
+ "epoch": 1.2341619887730553,
746
+ "grad_norm": 0.10135751962661743,
747
+ "learning_rate": 7.712496896781637e-05,
748
+ "loss": 0.1086,
749
+ "step": 770
750
+ },
751
+ {
752
+ "epoch": 1.2502004811547716,
753
+ "grad_norm": 0.07764733582735062,
754
+ "learning_rate": 7.44109498102029e-05,
755
+ "loss": 0.0998,
756
+ "step": 780
757
+ },
758
+ {
759
+ "epoch": 1.2502004811547716,
760
+ "eval_loss": 0.10887689888477325,
761
+ "eval_runtime": 51.3975,
762
+ "eval_samples_per_second": 5.117,
763
+ "eval_steps_per_second": 2.568,
764
+ "step": 780
765
+ },
766
+ {
767
+ "epoch": 1.2662389735364876,
768
+ "grad_norm": 0.09288525581359863,
769
+ "learning_rate": 7.171695535522259e-05,
770
+ "loss": 0.1129,
771
+ "step": 790
772
+ },
773
+ {
774
+ "epoch": 1.2822774659182037,
775
+ "grad_norm": 0.0900450125336647,
776
+ "learning_rate": 6.904509378733154e-05,
777
+ "loss": 0.1132,
778
+ "step": 800
779
+ },
780
+ {
781
+ "epoch": 1.2983159582999197,
782
+ "grad_norm": 0.08215230703353882,
783
+ "learning_rate": 6.639745597090246e-05,
784
+ "loss": 0.1078,
785
+ "step": 810
786
+ },
787
+ {
788
+ "epoch": 1.2983159582999197,
789
+ "eval_loss": 0.10840240865945816,
790
+ "eval_runtime": 51.5192,
791
+ "eval_samples_per_second": 5.105,
792
+ "eval_steps_per_second": 2.562,
793
+ "step": 810
794
+ },
795
+ {
796
+ "epoch": 1.3143544506816358,
797
+ "grad_norm": 0.05950262397527695,
798
+ "learning_rate": 6.377611381401958e-05,
799
+ "loss": 0.1055,
800
+ "step": 820
801
+ },
802
+ {
803
+ "epoch": 1.330392943063352,
804
+ "grad_norm": 0.06437576562166214,
805
+ "learning_rate": 6.118311864710748e-05,
806
+ "loss": 0.1012,
807
+ "step": 830
808
+ },
809
+ {
810
+ "epoch": 1.3464314354450682,
811
+ "grad_norm": 0.10620200634002686,
812
+ "learning_rate": 5.862049961766327e-05,
813
+ "loss": 0.1177,
814
+ "step": 840
815
+ },
816
+ {
817
+ "epoch": 1.3464314354450682,
818
+ "eval_loss": 0.1079765185713768,
819
+ "eval_runtime": 51.4348,
820
+ "eval_samples_per_second": 5.113,
821
+ "eval_steps_per_second": 2.566,
822
+ "step": 840
823
+ },
824
+ {
825
+ "epoch": 1.3624699278267842,
826
+ "grad_norm": 0.1097632423043251,
827
+ "learning_rate": 5.609026210234799e-05,
828
+ "loss": 0.0995,
829
+ "step": 850
830
+ },
831
+ {
832
+ "epoch": 1.3785084202085005,
833
+ "grad_norm": 0.09094393998384476,
834
+ "learning_rate": 5.359438613767951e-05,
835
+ "loss": 0.1024,
836
+ "step": 860
837
+ },
838
+ {
839
+ "epoch": 1.3945469125902166,
840
+ "grad_norm": 0.08209466189146042,
841
+ "learning_rate": 5.1134824870555875e-05,
842
+ "loss": 0.1081,
843
+ "step": 870
844
+ },
845
+ {
846
+ "epoch": 1.3945469125902166,
847
+ "eval_loss": 0.10702705383300781,
848
+ "eval_runtime": 51.3972,
849
+ "eval_samples_per_second": 5.117,
850
+ "eval_steps_per_second": 2.568,
851
+ "step": 870
852
+ },
853
+ {
854
+ "epoch": 1.4105854049719326,
855
+ "grad_norm": 0.11662867665290833,
856
+ "learning_rate": 4.871350302982077e-05,
857
+ "loss": 0.1082,
858
+ "step": 880
859
+ },
860
+ {
861
+ "epoch": 1.4266238973536487,
862
+ "grad_norm": 0.08680973947048187,
863
+ "learning_rate": 4.6332315420067604e-05,
864
+ "loss": 0.1139,
865
+ "step": 890
866
+ },
867
+ {
868
+ "epoch": 1.4426623897353648,
869
+ "grad_norm": 0.1044652909040451,
870
+ "learning_rate": 4.399312543886067e-05,
871
+ "loss": 0.1106,
872
+ "step": 900
873
+ },
874
+ {
875
+ "epoch": 1.4426623897353648,
876
+ "eval_loss": 0.10689909011125565,
877
+ "eval_runtime": 51.5936,
878
+ "eval_samples_per_second": 5.098,
879
+ "eval_steps_per_second": 2.558,
880
+ "step": 900
881
+ },
882
+ {
883
+ "epoch": 1.458700882117081,
884
+ "grad_norm": 0.08980236202478409,
885
+ "learning_rate": 4.169776361853437e-05,
886
+ "loss": 0.1091,
887
+ "step": 910
888
+ },
889
+ {
890
+ "epoch": 1.474739374498797,
891
+ "grad_norm": 0.09599462896585464,
892
+ "learning_rate": 3.944802619371041e-05,
893
+ "loss": 0.1116,
894
+ "step": 920
895
+ },
896
+ {
897
+ "epoch": 1.4907778668805132,
898
+ "grad_norm": 0.0679604634642601,
899
+ "learning_rate": 3.7245673695655015e-05,
900
+ "loss": 0.1067,
901
+ "step": 930
902
+ },
903
+ {
904
+ "epoch": 1.4907778668805132,
905
+ "eval_loss": 0.10721538215875626,
906
+ "eval_runtime": 51.5029,
907
+ "eval_samples_per_second": 5.107,
908
+ "eval_steps_per_second": 2.563,
909
+ "step": 930
910
+ },
911
+ {
912
+ "epoch": 1.5068163592622295,
913
+ "grad_norm": 0.07000099122524261,
914
+ "learning_rate": 3.5092429574576115e-05,
915
+ "loss": 0.0962,
916
+ "step": 940
917
+ },
918
+ {
919
+ "epoch": 1.5228548516439455,
920
+ "grad_norm": 0.0805450901389122,
921
+ "learning_rate": 3.298997885093748e-05,
922
+ "loss": 0.096,
923
+ "step": 950
924
+ },
925
+ {
926
+ "epoch": 1.5388933440256616,
927
+ "grad_norm": 0.08625531196594238,
928
+ "learning_rate": 3.0939966796846996e-05,
929
+ "loss": 0.1129,
930
+ "step": 960
931
+ },
932
+ {
933
+ "epoch": 1.5388933440256616,
934
+ "eval_loss": 0.10685242712497711,
935
+ "eval_runtime": 51.6956,
936
+ "eval_samples_per_second": 5.087,
937
+ "eval_steps_per_second": 2.553,
938
+ "step": 960
939
+ },
940
+ {
941
+ "epoch": 1.5549318364073779,
942
+ "grad_norm": 0.09168870002031326,
943
+ "learning_rate": 2.8943997648549104e-05,
944
+ "loss": 0.0998,
945
+ "step": 970
946
+ },
947
+ {
948
+ "epoch": 1.5709703287890937,
949
+ "grad_norm": 0.07784843444824219,
950
+ "learning_rate": 2.7003633351030566e-05,
951
+ "loss": 0.1096,
952
+ "step": 980
953
+ },
954
+ {
955
+ "epoch": 1.58700882117081,
956
+ "grad_norm": 0.09954196214675903,
957
+ "learning_rate": 2.5120392335720898e-05,
958
+ "loss": 0.1137,
959
+ "step": 990
960
+ },
961
+ {
962
+ "epoch": 1.58700882117081,
963
+ "eval_loss": 0.10643722862005234,
964
+ "eval_runtime": 51.7509,
965
+ "eval_samples_per_second": 5.082,
966
+ "eval_steps_per_second": 2.551,
967
+ "step": 990
968
+ },
969
+ {
970
+ "epoch": 1.603047313552526,
971
+ "grad_norm": 0.08735591918230057,
972
+ "learning_rate": 2.3295748332244173e-05,
973
+ "loss": 0.1096,
974
+ "step": 1000
975
+ },
976
+ {
977
+ "epoch": 1.6190858059342421,
978
+ "grad_norm": 0.12118412554264069,
979
+ "learning_rate": 2.153112921515259e-05,
980
+ "loss": 0.115,
981
+ "step": 1010
982
+ },
983
+ {
984
+ "epoch": 1.6351242983159584,
985
+ "grad_norm": 0.0717737153172493,
986
+ "learning_rate": 1.982791588654368e-05,
987
+ "loss": 0.1015,
988
+ "step": 1020
989
+ },
990
+ {
991
+ "epoch": 1.6351242983159584,
992
+ "eval_loss": 0.10614278167486191,
993
+ "eval_runtime": 51.7761,
994
+ "eval_samples_per_second": 5.08,
995
+ "eval_steps_per_second": 2.549,
996
+ "step": 1020
997
+ },
998
+ {
999
+ "epoch": 1.6511627906976745,
1000
+ "grad_norm": 0.07388223707675934,
1001
+ "learning_rate": 1.8187441195435817e-05,
1002
+ "loss": 0.1004,
1003
+ "step": 1030
1004
+ },
1005
+ {
1006
+ "epoch": 1.6672012830793905,
1007
+ "grad_norm": 0.1101582869887352,
1008
+ "learning_rate": 1.6610988894747626e-05,
1009
+ "loss": 0.1051,
1010
+ "step": 1040
1011
+ },
1012
+ {
1013
+ "epoch": 1.6832397754611068,
1014
+ "grad_norm": 0.07702717930078506,
1015
+ "learning_rate": 1.5099792636697652e-05,
1016
+ "loss": 0.1133,
1017
+ "step": 1050
1018
+ },
1019
+ {
1020
+ "epoch": 1.6832397754611068,
1021
+ "eval_loss": 0.10605080425739288,
1022
+ "eval_runtime": 51.6204,
1023
+ "eval_samples_per_second": 5.095,
1024
+ "eval_steps_per_second": 2.557,
1025
+ "step": 1050
1026
+ },
1027
+ {
1028
+ "epoch": 1.6992782678428227,
1029
+ "grad_norm": 0.10285110771656036,
1030
+ "learning_rate": 1.3655035007410178e-05,
1031
+ "loss": 0.1099,
1032
+ "step": 1060
1033
+ },
1034
+ {
1035
+ "epoch": 1.715316760224539,
1036
+ "grad_norm": 0.09180232137441635,
1037
+ "learning_rate": 1.2277846601482823e-05,
1038
+ "loss": 0.1134,
1039
+ "step": 1070
1040
+ },
1041
+ {
1042
+ "epoch": 1.731355252606255,
1043
+ "grad_norm": 0.08292191475629807,
1044
+ "learning_rate": 1.0969305137240227e-05,
1045
+ "loss": 0.1063,
1046
+ "step": 1080
1047
+ },
1048
+ {
1049
+ "epoch": 1.731355252606255,
1050
+ "eval_loss": 0.10602111369371414,
1051
+ "eval_runtime": 51.6076,
1052
+ "eval_samples_per_second": 5.096,
1053
+ "eval_steps_per_second": 2.558,
1054
+ "step": 1080
1055
+ },
1056
+ {
1057
+ "epoch": 1.747393744987971,
1058
+ "grad_norm": 0.07537797093391418,
1059
+ "learning_rate": 9.730434613365746e-06,
1060
+ "loss": 0.1113,
1061
+ "step": 1090
1062
+ },
1063
+ {
1064
+ "epoch": 1.7634322373696873,
1065
+ "grad_norm": 0.07908269017934799,
1066
+ "learning_rate": 8.562204507571914e-06,
1067
+ "loss": 0.1038,
1068
+ "step": 1100
1069
+ },
1070
+ {
1071
+ "epoch": 1.7794707297514034,
1072
+ "grad_norm": 0.12484702467918396,
1073
+ "learning_rate": 7.465529017935658e-06,
1074
+ "loss": 0.1155,
1075
+ "step": 1110
1076
+ },
1077
+ {
1078
+ "epoch": 1.7794707297514034,
1079
+ "eval_loss": 0.10594786703586578,
1080
+ "eval_runtime": 51.6233,
1081
+ "eval_samples_per_second": 5.095,
1082
+ "eval_steps_per_second": 2.557,
1083
+ "step": 1110
1084
+ },
1085
+ {
1086
+ "epoch": 1.7955092221331195,
1087
+ "grad_norm": 0.12337016314268112,
1088
+ "learning_rate": 6.4412663474931575e-06,
1089
+ "loss": 0.1158,
1090
+ "step": 1120
1091
+ },
1092
+ {
1093
+ "epoch": 1.8115477145148358,
1094
+ "grad_norm": 0.0796642079949379,
1095
+ "learning_rate": 5.490218032653205e-06,
1096
+ "loss": 0.1062,
1097
+ "step": 1130
1098
+ },
1099
+ {
1100
+ "epoch": 1.8275862068965516,
1101
+ "grad_norm": 0.062203481793403625,
1102
+ "learning_rate": 4.613128315955217e-06,
1103
+ "loss": 0.1035,
1104
+ "step": 1140
1105
+ },
1106
+ {
1107
+ "epoch": 1.8275862068965516,
1108
+ "eval_loss": 0.10584517568349838,
1109
+ "eval_runtime": 51.5844,
1110
+ "eval_samples_per_second": 5.098,
1111
+ "eval_steps_per_second": 2.559,
1112
+ "step": 1140
1113
+ },
1114
+ {
1115
+ "epoch": 1.8436246992782679,
1116
+ "grad_norm": 0.07995738089084625,
1117
+ "learning_rate": 3.810683563662476e-06,
1118
+ "loss": 0.1067,
1119
+ "step": 1150
1120
+ },
1121
+ {
1122
+ "epoch": 1.859663191659984,
1123
+ "grad_norm": 0.09624777734279633,
1124
+ "learning_rate": 3.0835117286464153e-06,
1125
+ "loss": 0.1018,
1126
+ "step": 1160
1127
+ },
1128
+ {
1129
+ "epoch": 1.8757016840417,
1130
+ "grad_norm": 0.08080890029668808,
1131
+ "learning_rate": 2.4321818589823518e-06,
1132
+ "loss": 0.0953,
1133
+ "step": 1170
1134
+ },
1135
+ {
1136
+ "epoch": 1.8757016840417,
1137
+ "eval_loss": 0.1057586520910263,
1138
+ "eval_runtime": 51.6082,
1139
+ "eval_samples_per_second": 5.096,
1140
+ "eval_steps_per_second": 2.558,
1141
+ "step": 1170
1142
+ },
1143
+ {
1144
+ "epoch": 1.8917401764234163,
1145
+ "grad_norm": 0.07521943002939224,
1146
+ "learning_rate": 1.8572036526410708e-06,
1147
+ "loss": 0.1016,
1148
+ "step": 1180
1149
+ },
1150
+ {
1151
+ "epoch": 1.9077786688051324,
1152
+ "grad_norm": 0.11767873167991638,
1153
+ "learning_rate": 1.359027058624862e-06,
1154
+ "loss": 0.1072,
1155
+ "step": 1190
1156
+ },
1157
+ {
1158
+ "epoch": 1.9238171611868484,
1159
+ "grad_norm": 0.09177617728710175,
1160
+ "learning_rate": 9.38041924860078e-07,
1161
+ "loss": 0.1093,
1162
+ "step": 1200
1163
+ },
1164
+ {
1165
+ "epoch": 1.9238171611868484,
1166
+ "eval_loss": 0.10568080097436905,
1167
+ "eval_runtime": 51.6479,
1168
+ "eval_samples_per_second": 5.092,
1169
+ "eval_steps_per_second": 2.556,
1170
+ "step": 1200
1171
+ },
1172
+ {
1173
+ "epoch": 1.9398556535685647,
1174
+ "grad_norm": 0.1095619797706604,
1175
+ "learning_rate": 5.945776931217783e-07,
1176
+ "loss": 0.1099,
1177
+ "step": 1210
1178
+ },
1179
+ {
1180
+ "epoch": 1.9558941459502805,
1181
+ "grad_norm": 0.08429524302482605,
1182
+ "learning_rate": 3.2890314122919764e-07,
1183
+ "loss": 0.1109,
1184
+ "step": 1220
1185
+ },
1186
+ {
1187
+ "epoch": 1.9719326383319968,
1188
+ "grad_norm": 0.0836464986205101,
1189
+ "learning_rate": 1.412261727136821e-07,
1190
+ "loss": 0.1046,
1191
+ "step": 1230
1192
+ },
1193
+ {
1194
+ "epoch": 1.9719326383319968,
1195
+ "eval_loss": 0.10573633015155792,
1196
+ "eval_runtime": 51.5768,
1197
+ "eval_samples_per_second": 5.099,
1198
+ "eval_steps_per_second": 2.559,
1199
+ "step": 1230
1200
+ },
1201
+ {
1202
+ "epoch": 1.987971130713713,
1203
+ "grad_norm": 0.09745202958583832,
1204
+ "learning_rate": 3.1693654123921e-08,
1205
+ "loss": 0.1078,
1206
+ "step": 1240
1207
+ }
1208
+ ],
1209
+ "logging_steps": 10,
1210
+ "max_steps": 1248,
1211
+ "num_input_tokens_seen": 0,
1212
+ "num_train_epochs": 2,
1213
+ "save_steps": 100,
1214
+ "stateful_callbacks": {
1215
+ "TrainerControl": {
1216
+ "args": {
1217
+ "should_epoch_stop": false,
1218
+ "should_evaluate": false,
1219
+ "should_log": false,
1220
+ "should_save": true,
1221
+ "should_training_stop": true
1222
+ },
1223
+ "attributes": {}
1224
+ }
1225
+ },
1226
+ "total_flos": 2.026272997179556e+17,
1227
+ "train_batch_size": 2,
1228
+ "trial_name": null,
1229
+ "trial_params": null
1230
+ }
checkpoint-1248/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d773b87cb37589c74f66aeb9b810be29391c13ad53402f7b3b97ecc23ea86075
3
+ size 5777
checkpoint-1248/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "dtype": "bfloat16",
8
+ "eos_token_id": 151645,
9
+ "head_dim": 128,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2560,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 9728,
14
+ "layer_types": [
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
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention"
51
+ ],
52
+ "max_position_embeddings": 262144,
53
+ "max_window_layers": 36,
54
+ "model_type": "qwen3",
55
+ "num_attention_heads": 32,
56
+ "num_hidden_layers": 36,
57
+ "num_key_value_heads": 8,
58
+ "pad_token_id": 151654,
59
+ "rms_norm_eps": 1e-06,
60
+ "rope_scaling": null,
61
+ "rope_theta": 5000000,
62
+ "sliding_window": null,
63
+ "tie_word_embeddings": true,
64
+ "transformers_version": "4.56.2",
65
+ "unsloth_fixed": true,
66
+ "unsloth_version": "2025.12.7",
67
+ "use_cache": true,
68
+ "use_sliding_window": false,
69
+ "vocab_size": 151936
70
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "max_length": 262144,
9
+ "pad_token_id": 151654,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.56.2"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4d6781aadbe9b1d8fc78dd17006c3820b9d93f5d1733f7d0f5a7cc44c105ea3
3
+ size 4967215360
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:55ddc04b7935256fa0b20c8d491c03330dc85a15ffa7af9b6da9276136888ae1
3
+ size 3077766632
model.safetensors.index.json ADDED
@@ -0,0 +1,406 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 4022468096,
4
+ "total_size": 8044936192
5
+ },
6
+ "weight_map": {
7
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.13.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.14.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
80
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
90
+ "model.layers.15.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.16.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
102
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.16.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.17.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.17.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.18.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
126
+ "model.layers.18.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.19.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.19.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
156
+ "model.layers.20.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.20.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
167
+ "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
168
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
169
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
170
+ "model.layers.21.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
178
+ "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
179
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
180
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
181
+ "model.layers.22.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
189
+ "model.layers.23.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
190
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
191
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
192
+ "model.layers.23.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
200
+ "model.layers.24.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
201
+ "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
202
+ "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
203
+ "model.layers.24.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
211
+ "model.layers.25.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
212
+ "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
213
+ "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
214
+ "model.layers.25.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
222
+ "model.layers.26.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
223
+ "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
224
+ "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
225
+ "model.layers.26.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
233
+ "model.layers.27.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
234
+ "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
235
+ "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
236
+ "model.layers.27.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
244
+ "model.layers.28.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
245
+ "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
246
+ "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
247
+ "model.layers.28.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
255
+ "model.layers.29.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
256
+ "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
257
+ "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
258
+ "model.layers.29.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
277
+ "model.layers.30.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
278
+ "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
279
+ "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
280
+ "model.layers.30.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
288
+ "model.layers.31.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
289
+ "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
290
+ "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
291
+ "model.layers.31.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
299
+ "model.layers.32.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
300
+ "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
301
+ "model.layers.32.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
302
+ "model.layers.32.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00002-of-00002.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
310
+ "model.layers.33.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
311
+ "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
312
+ "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
313
+ "model.layers.33.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
321
+ "model.layers.34.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
322
+ "model.layers.34.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
323
+ "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
324
+ "model.layers.34.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
332
+ "model.layers.35.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
333
+ "model.layers.35.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
334
+ "model.layers.35.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
335
+ "model.layers.35.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
338
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
339
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
340
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
342
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
344
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
346
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
347
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
349
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
350
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
351
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
352
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
353
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
354
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
355
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
356
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
358
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
359
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
360
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
362
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
363
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
365
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
366
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
367
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
368
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
369
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
370
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
371
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
372
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
373
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
375
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
376
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
378
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
379
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
380
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
382
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
383
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
385
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
386
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
387
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
388
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
390
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
392
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
393
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
394
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
395
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
396
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
398
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
399
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
401
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
402
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
403
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
404
+ "model.norm.weight": "model-00002-of-00002.safetensors"
405
+ }
406
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|vision_pad|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|vision_pad|>",
236
+ "padding_side": "left",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff