Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- checkpoint-1000/README.md +202 -0
- checkpoint-1000/adapter_config.json +42 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/added_tokens.json +28 -0
- checkpoint-1000/merges.txt +0 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +31 -0
- checkpoint-1000/tokenizer.json +3 -0
- checkpoint-1000/tokenizer_config.json +241 -0
- checkpoint-1000/trainer_state.json +314 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1000/vocab.json +0 -0
- checkpoint-2000/README.md +202 -0
- checkpoint-2000/adapter_config.json +42 -0
- checkpoint-2000/adapter_model.safetensors +3 -0
- checkpoint-2000/added_tokens.json +28 -0
- checkpoint-2000/merges.txt +0 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/special_tokens_map.json +31 -0
- checkpoint-2000/tokenizer.json +3 -0
- checkpoint-2000/tokenizer_config.json +241 -0
- checkpoint-2000/trainer_state.json +594 -0
- checkpoint-2000/training_args.bin +3 -0
- checkpoint-2000/vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ 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-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
37 |
+
checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
checkpoint-1000/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: unsloth/Qwen3-8B-Base
|
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 0.15.2
|
checkpoint-1000/adapter_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/Qwen3-8B-Base",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": [
|
22 |
+
"lm_head",
|
23 |
+
"embed_tokens"
|
24 |
+
],
|
25 |
+
"peft_type": "LORA",
|
26 |
+
"r": 32,
|
27 |
+
"rank_pattern": {},
|
28 |
+
"revision": null,
|
29 |
+
"target_modules": [
|
30 |
+
"down_proj",
|
31 |
+
"gate_proj",
|
32 |
+
"k_proj",
|
33 |
+
"o_proj",
|
34 |
+
"q_proj",
|
35 |
+
"v_proj",
|
36 |
+
"up_proj"
|
37 |
+
],
|
38 |
+
"task_type": "CAUSAL_LM",
|
39 |
+
"trainable_token_indices": null,
|
40 |
+
"use_dora": false,
|
41 |
+
"use_rslora": false
|
42 |
+
}
|
checkpoint-1000/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ab7edd297f14c126d359dcf73280ebc3e6de0f4cb6e2baeb3274000c3e990568
|
3 |
+
size 2838563408
|
checkpoint-1000/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-1000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c729672e40e37726766df1aced01650be2e52e2f9747f790cfcdc75dfb033df0
|
3 |
+
size 2706136909
|
checkpoint-1000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:250560ab3d528161ab3659b120def6e4a9ab4b457e3399603bbcfa40db3efc90
|
3 |
+
size 14645
|
checkpoint-1000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d75fa64be14f97e9a229eac6ca0c3d52c790987f63631597d0afddc53f852e78
|
3 |
+
size 1465
|
checkpoint-1000/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": "<|endoftext|>",
|
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-1000/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
3 |
+
size 11422654
|
checkpoint-1000/tokenizer_config.json
ADDED
@@ -0,0 +1,241 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
231 |
+
"clean_up_tokenization_spaces": false,
|
232 |
+
"eos_token": "<|endoftext|>",
|
233 |
+
"errors": "replace",
|
234 |
+
"extra_special_tokens": {},
|
235 |
+
"model_max_length": 32768,
|
236 |
+
"pad_token": "<|vision_pad|>",
|
237 |
+
"padding_side": "right",
|
238 |
+
"split_special_tokens": false,
|
239 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
240 |
+
"unk_token": null
|
241 |
+
}
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,314 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.1477824549898515,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 1000,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.0036945613747462877,
|
14 |
+
"grad_norm": 2.2292165756225586,
|
15 |
+
"learning_rate": 5.911330049261084e-06,
|
16 |
+
"loss": 0.9395,
|
17 |
+
"step": 25
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.007389122749492575,
|
21 |
+
"grad_norm": 0.8381065130233765,
|
22 |
+
"learning_rate": 1.206896551724138e-05,
|
23 |
+
"loss": 0.89,
|
24 |
+
"step": 50
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.011083684124238862,
|
28 |
+
"grad_norm": 0.9238471984863281,
|
29 |
+
"learning_rate": 1.8226600985221676e-05,
|
30 |
+
"loss": 0.8384,
|
31 |
+
"step": 75
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.01477824549898515,
|
35 |
+
"grad_norm": 0.6837311387062073,
|
36 |
+
"learning_rate": 2.438423645320197e-05,
|
37 |
+
"loss": 0.784,
|
38 |
+
"step": 100
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.01847280687373144,
|
42 |
+
"grad_norm": 0.7093706727027893,
|
43 |
+
"learning_rate": 3.0541871921182266e-05,
|
44 |
+
"loss": 0.7675,
|
45 |
+
"step": 125
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.022167368248477724,
|
49 |
+
"grad_norm": 0.6208077073097229,
|
50 |
+
"learning_rate": 3.669950738916256e-05,
|
51 |
+
"loss": 0.7466,
|
52 |
+
"step": 150
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.025861929623224013,
|
56 |
+
"grad_norm": 0.8929094076156616,
|
57 |
+
"learning_rate": 4.2857142857142856e-05,
|
58 |
+
"loss": 0.7386,
|
59 |
+
"step": 175
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.0295564909979703,
|
63 |
+
"grad_norm": 0.7828120589256287,
|
64 |
+
"learning_rate": 4.901477832512316e-05,
|
65 |
+
"loss": 0.7173,
|
66 |
+
"step": 200
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.03325105237271659,
|
70 |
+
"grad_norm": 0.7134449481964111,
|
71 |
+
"learning_rate": 5.517241379310345e-05,
|
72 |
+
"loss": 0.7108,
|
73 |
+
"step": 225
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.03694561374746288,
|
77 |
+
"grad_norm": 0.7464851140975952,
|
78 |
+
"learning_rate": 6.133004926108375e-05,
|
79 |
+
"loss": 0.7332,
|
80 |
+
"step": 250
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04064017512220916,
|
84 |
+
"grad_norm": 0.677793025970459,
|
85 |
+
"learning_rate": 6.748768472906404e-05,
|
86 |
+
"loss": 0.7194,
|
87 |
+
"step": 275
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04433473649695545,
|
91 |
+
"grad_norm": 0.7936354875564575,
|
92 |
+
"learning_rate": 7.364532019704434e-05,
|
93 |
+
"loss": 0.7253,
|
94 |
+
"step": 300
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.04802929787170174,
|
98 |
+
"grad_norm": 0.6711100935935974,
|
99 |
+
"learning_rate": 7.980295566502463e-05,
|
100 |
+
"loss": 0.7018,
|
101 |
+
"step": 325
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.051723859246448026,
|
105 |
+
"grad_norm": 0.5816489458084106,
|
106 |
+
"learning_rate": 8.596059113300493e-05,
|
107 |
+
"loss": 0.7298,
|
108 |
+
"step": 350
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.055418420621194314,
|
112 |
+
"grad_norm": 0.6680681705474854,
|
113 |
+
"learning_rate": 9.211822660098522e-05,
|
114 |
+
"loss": 0.7149,
|
115 |
+
"step": 375
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.0591129819959406,
|
119 |
+
"grad_norm": 0.5643934607505798,
|
120 |
+
"learning_rate": 9.827586206896552e-05,
|
121 |
+
"loss": 0.763,
|
122 |
+
"step": 400
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.06280754337068689,
|
126 |
+
"grad_norm": 0.5739309191703796,
|
127 |
+
"learning_rate": 9.986286759104069e-05,
|
128 |
+
"loss": 0.7345,
|
129 |
+
"step": 425
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06650210474543318,
|
133 |
+
"grad_norm": 0.5929909944534302,
|
134 |
+
"learning_rate": 9.967240591193052e-05,
|
135 |
+
"loss": 0.7364,
|
136 |
+
"step": 450
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.07019666612017947,
|
140 |
+
"grad_norm": 0.609235405921936,
|
141 |
+
"learning_rate": 9.948194423282036e-05,
|
142 |
+
"loss": 0.7294,
|
143 |
+
"step": 475
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.07389122749492576,
|
147 |
+
"grad_norm": 0.4643324613571167,
|
148 |
+
"learning_rate": 9.92914825537102e-05,
|
149 |
+
"loss": 0.7344,
|
150 |
+
"step": 500
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.07758578886967203,
|
154 |
+
"grad_norm": 0.5267598032951355,
|
155 |
+
"learning_rate": 9.910102087460003e-05,
|
156 |
+
"loss": 0.7249,
|
157 |
+
"step": 525
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.08128035024441832,
|
161 |
+
"grad_norm": 0.47951069474220276,
|
162 |
+
"learning_rate": 9.891055919548987e-05,
|
163 |
+
"loss": 0.7256,
|
164 |
+
"step": 550
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.08497491161916461,
|
168 |
+
"grad_norm": 0.4505012333393097,
|
169 |
+
"learning_rate": 9.87200975163797e-05,
|
170 |
+
"loss": 0.7359,
|
171 |
+
"step": 575
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0886694729939109,
|
175 |
+
"grad_norm": 0.5320091247558594,
|
176 |
+
"learning_rate": 9.852963583726955e-05,
|
177 |
+
"loss": 0.6856,
|
178 |
+
"step": 600
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.09236403436865719,
|
182 |
+
"grad_norm": 0.5583036541938782,
|
183 |
+
"learning_rate": 9.833917415815939e-05,
|
184 |
+
"loss": 0.7235,
|
185 |
+
"step": 625
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.09605859574340347,
|
189 |
+
"grad_norm": 0.5139252543449402,
|
190 |
+
"learning_rate": 9.814871247904922e-05,
|
191 |
+
"loss": 0.7272,
|
192 |
+
"step": 650
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.09975315711814976,
|
196 |
+
"grad_norm": 0.4989326000213623,
|
197 |
+
"learning_rate": 9.795825079993906e-05,
|
198 |
+
"loss": 0.6952,
|
199 |
+
"step": 675
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.10344771849289605,
|
203 |
+
"grad_norm": 0.47355732321739197,
|
204 |
+
"learning_rate": 9.776778912082889e-05,
|
205 |
+
"loss": 0.7266,
|
206 |
+
"step": 700
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.10714227986764234,
|
210 |
+
"grad_norm": 0.3588508367538452,
|
211 |
+
"learning_rate": 9.757732744171874e-05,
|
212 |
+
"loss": 0.7406,
|
213 |
+
"step": 725
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.11083684124238863,
|
217 |
+
"grad_norm": 0.4120556712150574,
|
218 |
+
"learning_rate": 9.738686576260857e-05,
|
219 |
+
"loss": 0.7443,
|
220 |
+
"step": 750
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.11453140261713492,
|
224 |
+
"grad_norm": 0.5160555839538574,
|
225 |
+
"learning_rate": 9.71964040834984e-05,
|
226 |
+
"loss": 0.7134,
|
227 |
+
"step": 775
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.1182259639918812,
|
231 |
+
"grad_norm": 0.5423145890235901,
|
232 |
+
"learning_rate": 9.700594240438823e-05,
|
233 |
+
"loss": 0.7289,
|
234 |
+
"step": 800
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.1219205253666275,
|
238 |
+
"grad_norm": 0.5352346301078796,
|
239 |
+
"learning_rate": 9.681548072527808e-05,
|
240 |
+
"loss": 0.7144,
|
241 |
+
"step": 825
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.12561508674137378,
|
245 |
+
"grad_norm": 0.47908860445022583,
|
246 |
+
"learning_rate": 9.662501904616791e-05,
|
247 |
+
"loss": 0.7175,
|
248 |
+
"step": 850
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.12930964811612006,
|
252 |
+
"grad_norm": 0.47986069321632385,
|
253 |
+
"learning_rate": 9.643455736705776e-05,
|
254 |
+
"loss": 0.6983,
|
255 |
+
"step": 875
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.13300420949086636,
|
259 |
+
"grad_norm": 0.6903620958328247,
|
260 |
+
"learning_rate": 9.624409568794759e-05,
|
261 |
+
"loss": 0.7086,
|
262 |
+
"step": 900
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.13669877086561263,
|
266 |
+
"grad_norm": 0.44413208961486816,
|
267 |
+
"learning_rate": 9.605363400883742e-05,
|
268 |
+
"loss": 0.7306,
|
269 |
+
"step": 925
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.14039333224035894,
|
273 |
+
"grad_norm": 0.4634678065776825,
|
274 |
+
"learning_rate": 9.586317232972727e-05,
|
275 |
+
"loss": 0.7061,
|
276 |
+
"step": 950
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.1440878936151052,
|
280 |
+
"grad_norm": 0.5110129714012146,
|
281 |
+
"learning_rate": 9.56727106506171e-05,
|
282 |
+
"loss": 0.7406,
|
283 |
+
"step": 975
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.1477824549898515,
|
287 |
+
"grad_norm": 0.5460866093635559,
|
288 |
+
"learning_rate": 9.548224897150694e-05,
|
289 |
+
"loss": 0.721,
|
290 |
+
"step": 1000
|
291 |
+
}
|
292 |
+
],
|
293 |
+
"logging_steps": 25,
|
294 |
+
"max_steps": 13532,
|
295 |
+
"num_input_tokens_seen": 0,
|
296 |
+
"num_train_epochs": 2,
|
297 |
+
"save_steps": 1000,
|
298 |
+
"stateful_callbacks": {
|
299 |
+
"TrainerControl": {
|
300 |
+
"args": {
|
301 |
+
"should_epoch_stop": false,
|
302 |
+
"should_evaluate": false,
|
303 |
+
"should_log": false,
|
304 |
+
"should_save": true,
|
305 |
+
"should_training_stop": false
|
306 |
+
},
|
307 |
+
"attributes": {}
|
308 |
+
}
|
309 |
+
},
|
310 |
+
"total_flos": 4.0118777182918103e+18,
|
311 |
+
"train_batch_size": 1,
|
312 |
+
"trial_name": null,
|
313 |
+
"trial_params": null
|
314 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ddec6eef92f76dd21b66ba65fc3f8486e2d925551fb3a26f493b39225b02363f
|
3 |
+
size 5969
|
checkpoint-1000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2000/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: unsloth/Qwen3-8B-Base
|
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 0.15.2
|
checkpoint-2000/adapter_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/Qwen3-8B-Base",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": [
|
22 |
+
"lm_head",
|
23 |
+
"embed_tokens"
|
24 |
+
],
|
25 |
+
"peft_type": "LORA",
|
26 |
+
"r": 32,
|
27 |
+
"rank_pattern": {},
|
28 |
+
"revision": null,
|
29 |
+
"target_modules": [
|
30 |
+
"down_proj",
|
31 |
+
"gate_proj",
|
32 |
+
"k_proj",
|
33 |
+
"o_proj",
|
34 |
+
"q_proj",
|
35 |
+
"v_proj",
|
36 |
+
"up_proj"
|
37 |
+
],
|
38 |
+
"task_type": "CAUSAL_LM",
|
39 |
+
"trainable_token_indices": null,
|
40 |
+
"use_dora": false,
|
41 |
+
"use_rslora": false
|
42 |
+
}
|
checkpoint-2000/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1bb6d19081fe41126fa424c85447b5a443a6bd102b8606751024804a434afccc
|
3 |
+
size 2838563408
|
checkpoint-2000/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-2000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e0b5e2fbd3a960c85c6da10a926d69fc22a651aa36f3df6ce723da624789ff06
|
3 |
+
size 2706136909
|
checkpoint-2000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:250560ab3d528161ab3659b120def6e4a9ab4b457e3399603bbcfa40db3efc90
|
3 |
+
size 14645
|
checkpoint-2000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a218bd5708204545df02e7500f1718d3e8fdb83d07b9e4deada0648f6795aa1
|
3 |
+
size 1465
|
checkpoint-2000/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": "<|endoftext|>",
|
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-2000/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
3 |
+
size 11422654
|
checkpoint-2000/tokenizer_config.json
ADDED
@@ -0,0 +1,241 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
231 |
+
"clean_up_tokenization_spaces": false,
|
232 |
+
"eos_token": "<|endoftext|>",
|
233 |
+
"errors": "replace",
|
234 |
+
"extra_special_tokens": {},
|
235 |
+
"model_max_length": 32768,
|
236 |
+
"pad_token": "<|vision_pad|>",
|
237 |
+
"padding_side": "right",
|
238 |
+
"split_special_tokens": false,
|
239 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
240 |
+
"unk_token": null
|
241 |
+
}
|
checkpoint-2000/trainer_state.json
ADDED
@@ -0,0 +1,594 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.295564909979703,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 2000,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.0036945613747462877,
|
14 |
+
"grad_norm": 2.2292165756225586,
|
15 |
+
"learning_rate": 5.911330049261084e-06,
|
16 |
+
"loss": 0.9395,
|
17 |
+
"step": 25
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.007389122749492575,
|
21 |
+
"grad_norm": 0.8381065130233765,
|
22 |
+
"learning_rate": 1.206896551724138e-05,
|
23 |
+
"loss": 0.89,
|
24 |
+
"step": 50
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.011083684124238862,
|
28 |
+
"grad_norm": 0.9238471984863281,
|
29 |
+
"learning_rate": 1.8226600985221676e-05,
|
30 |
+
"loss": 0.8384,
|
31 |
+
"step": 75
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.01477824549898515,
|
35 |
+
"grad_norm": 0.6837311387062073,
|
36 |
+
"learning_rate": 2.438423645320197e-05,
|
37 |
+
"loss": 0.784,
|
38 |
+
"step": 100
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.01847280687373144,
|
42 |
+
"grad_norm": 0.7093706727027893,
|
43 |
+
"learning_rate": 3.0541871921182266e-05,
|
44 |
+
"loss": 0.7675,
|
45 |
+
"step": 125
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.022167368248477724,
|
49 |
+
"grad_norm": 0.6208077073097229,
|
50 |
+
"learning_rate": 3.669950738916256e-05,
|
51 |
+
"loss": 0.7466,
|
52 |
+
"step": 150
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.025861929623224013,
|
56 |
+
"grad_norm": 0.8929094076156616,
|
57 |
+
"learning_rate": 4.2857142857142856e-05,
|
58 |
+
"loss": 0.7386,
|
59 |
+
"step": 175
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.0295564909979703,
|
63 |
+
"grad_norm": 0.7828120589256287,
|
64 |
+
"learning_rate": 4.901477832512316e-05,
|
65 |
+
"loss": 0.7173,
|
66 |
+
"step": 200
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.03325105237271659,
|
70 |
+
"grad_norm": 0.7134449481964111,
|
71 |
+
"learning_rate": 5.517241379310345e-05,
|
72 |
+
"loss": 0.7108,
|
73 |
+
"step": 225
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.03694561374746288,
|
77 |
+
"grad_norm": 0.7464851140975952,
|
78 |
+
"learning_rate": 6.133004926108375e-05,
|
79 |
+
"loss": 0.7332,
|
80 |
+
"step": 250
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04064017512220916,
|
84 |
+
"grad_norm": 0.677793025970459,
|
85 |
+
"learning_rate": 6.748768472906404e-05,
|
86 |
+
"loss": 0.7194,
|
87 |
+
"step": 275
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04433473649695545,
|
91 |
+
"grad_norm": 0.7936354875564575,
|
92 |
+
"learning_rate": 7.364532019704434e-05,
|
93 |
+
"loss": 0.7253,
|
94 |
+
"step": 300
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.04802929787170174,
|
98 |
+
"grad_norm": 0.6711100935935974,
|
99 |
+
"learning_rate": 7.980295566502463e-05,
|
100 |
+
"loss": 0.7018,
|
101 |
+
"step": 325
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.051723859246448026,
|
105 |
+
"grad_norm": 0.5816489458084106,
|
106 |
+
"learning_rate": 8.596059113300493e-05,
|
107 |
+
"loss": 0.7298,
|
108 |
+
"step": 350
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.055418420621194314,
|
112 |
+
"grad_norm": 0.6680681705474854,
|
113 |
+
"learning_rate": 9.211822660098522e-05,
|
114 |
+
"loss": 0.7149,
|
115 |
+
"step": 375
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.0591129819959406,
|
119 |
+
"grad_norm": 0.5643934607505798,
|
120 |
+
"learning_rate": 9.827586206896552e-05,
|
121 |
+
"loss": 0.763,
|
122 |
+
"step": 400
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.06280754337068689,
|
126 |
+
"grad_norm": 0.5739309191703796,
|
127 |
+
"learning_rate": 9.986286759104069e-05,
|
128 |
+
"loss": 0.7345,
|
129 |
+
"step": 425
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06650210474543318,
|
133 |
+
"grad_norm": 0.5929909944534302,
|
134 |
+
"learning_rate": 9.967240591193052e-05,
|
135 |
+
"loss": 0.7364,
|
136 |
+
"step": 450
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.07019666612017947,
|
140 |
+
"grad_norm": 0.609235405921936,
|
141 |
+
"learning_rate": 9.948194423282036e-05,
|
142 |
+
"loss": 0.7294,
|
143 |
+
"step": 475
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.07389122749492576,
|
147 |
+
"grad_norm": 0.4643324613571167,
|
148 |
+
"learning_rate": 9.92914825537102e-05,
|
149 |
+
"loss": 0.7344,
|
150 |
+
"step": 500
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.07758578886967203,
|
154 |
+
"grad_norm": 0.5267598032951355,
|
155 |
+
"learning_rate": 9.910102087460003e-05,
|
156 |
+
"loss": 0.7249,
|
157 |
+
"step": 525
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.08128035024441832,
|
161 |
+
"grad_norm": 0.47951069474220276,
|
162 |
+
"learning_rate": 9.891055919548987e-05,
|
163 |
+
"loss": 0.7256,
|
164 |
+
"step": 550
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.08497491161916461,
|
168 |
+
"grad_norm": 0.4505012333393097,
|
169 |
+
"learning_rate": 9.87200975163797e-05,
|
170 |
+
"loss": 0.7359,
|
171 |
+
"step": 575
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0886694729939109,
|
175 |
+
"grad_norm": 0.5320091247558594,
|
176 |
+
"learning_rate": 9.852963583726955e-05,
|
177 |
+
"loss": 0.6856,
|
178 |
+
"step": 600
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.09236403436865719,
|
182 |
+
"grad_norm": 0.5583036541938782,
|
183 |
+
"learning_rate": 9.833917415815939e-05,
|
184 |
+
"loss": 0.7235,
|
185 |
+
"step": 625
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.09605859574340347,
|
189 |
+
"grad_norm": 0.5139252543449402,
|
190 |
+
"learning_rate": 9.814871247904922e-05,
|
191 |
+
"loss": 0.7272,
|
192 |
+
"step": 650
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.09975315711814976,
|
196 |
+
"grad_norm": 0.4989326000213623,
|
197 |
+
"learning_rate": 9.795825079993906e-05,
|
198 |
+
"loss": 0.6952,
|
199 |
+
"step": 675
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.10344771849289605,
|
203 |
+
"grad_norm": 0.47355732321739197,
|
204 |
+
"learning_rate": 9.776778912082889e-05,
|
205 |
+
"loss": 0.7266,
|
206 |
+
"step": 700
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.10714227986764234,
|
210 |
+
"grad_norm": 0.3588508367538452,
|
211 |
+
"learning_rate": 9.757732744171874e-05,
|
212 |
+
"loss": 0.7406,
|
213 |
+
"step": 725
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.11083684124238863,
|
217 |
+
"grad_norm": 0.4120556712150574,
|
218 |
+
"learning_rate": 9.738686576260857e-05,
|
219 |
+
"loss": 0.7443,
|
220 |
+
"step": 750
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.11453140261713492,
|
224 |
+
"grad_norm": 0.5160555839538574,
|
225 |
+
"learning_rate": 9.71964040834984e-05,
|
226 |
+
"loss": 0.7134,
|
227 |
+
"step": 775
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.1182259639918812,
|
231 |
+
"grad_norm": 0.5423145890235901,
|
232 |
+
"learning_rate": 9.700594240438823e-05,
|
233 |
+
"loss": 0.7289,
|
234 |
+
"step": 800
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.1219205253666275,
|
238 |
+
"grad_norm": 0.5352346301078796,
|
239 |
+
"learning_rate": 9.681548072527808e-05,
|
240 |
+
"loss": 0.7144,
|
241 |
+
"step": 825
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.12561508674137378,
|
245 |
+
"grad_norm": 0.47908860445022583,
|
246 |
+
"learning_rate": 9.662501904616791e-05,
|
247 |
+
"loss": 0.7175,
|
248 |
+
"step": 850
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.12930964811612006,
|
252 |
+
"grad_norm": 0.47986069321632385,
|
253 |
+
"learning_rate": 9.643455736705776e-05,
|
254 |
+
"loss": 0.6983,
|
255 |
+
"step": 875
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.13300420949086636,
|
259 |
+
"grad_norm": 0.6903620958328247,
|
260 |
+
"learning_rate": 9.624409568794759e-05,
|
261 |
+
"loss": 0.7086,
|
262 |
+
"step": 900
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.13669877086561263,
|
266 |
+
"grad_norm": 0.44413208961486816,
|
267 |
+
"learning_rate": 9.605363400883742e-05,
|
268 |
+
"loss": 0.7306,
|
269 |
+
"step": 925
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.14039333224035894,
|
273 |
+
"grad_norm": 0.4634678065776825,
|
274 |
+
"learning_rate": 9.586317232972727e-05,
|
275 |
+
"loss": 0.7061,
|
276 |
+
"step": 950
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.1440878936151052,
|
280 |
+
"grad_norm": 0.5110129714012146,
|
281 |
+
"learning_rate": 9.56727106506171e-05,
|
282 |
+
"loss": 0.7406,
|
283 |
+
"step": 975
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.1477824549898515,
|
287 |
+
"grad_norm": 0.5460866093635559,
|
288 |
+
"learning_rate": 9.548224897150694e-05,
|
289 |
+
"loss": 0.721,
|
290 |
+
"step": 1000
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.1514770163645978,
|
294 |
+
"grad_norm": 0.5179885029792786,
|
295 |
+
"learning_rate": 9.529178729239677e-05,
|
296 |
+
"loss": 0.7068,
|
297 |
+
"step": 1025
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.15517157773934406,
|
301 |
+
"grad_norm": 0.40280836820602417,
|
302 |
+
"learning_rate": 9.51013256132866e-05,
|
303 |
+
"loss": 0.7009,
|
304 |
+
"step": 1050
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.15886613911409037,
|
308 |
+
"grad_norm": 1.2706756591796875,
|
309 |
+
"learning_rate": 9.491086393417645e-05,
|
310 |
+
"loss": 0.7125,
|
311 |
+
"step": 1075
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.16256070048883664,
|
315 |
+
"grad_norm": 0.4963163435459137,
|
316 |
+
"learning_rate": 9.47204022550663e-05,
|
317 |
+
"loss": 0.7149,
|
318 |
+
"step": 1100
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.16625526186358294,
|
322 |
+
"grad_norm": 0.5147728323936462,
|
323 |
+
"learning_rate": 9.452994057595613e-05,
|
324 |
+
"loss": 0.7245,
|
325 |
+
"step": 1125
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.16994982323832922,
|
329 |
+
"grad_norm": 0.5933899879455566,
|
330 |
+
"learning_rate": 9.433947889684596e-05,
|
331 |
+
"loss": 0.7261,
|
332 |
+
"step": 1150
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.17364438461307552,
|
336 |
+
"grad_norm": 0.4750466048717499,
|
337 |
+
"learning_rate": 9.414901721773579e-05,
|
338 |
+
"loss": 0.7206,
|
339 |
+
"step": 1175
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.1773389459878218,
|
343 |
+
"grad_norm": 0.46546968817710876,
|
344 |
+
"learning_rate": 9.395855553862564e-05,
|
345 |
+
"loss": 0.7121,
|
346 |
+
"step": 1200
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.1810335073625681,
|
350 |
+
"grad_norm": 0.6512172818183899,
|
351 |
+
"learning_rate": 9.376809385951547e-05,
|
352 |
+
"loss": 0.7212,
|
353 |
+
"step": 1225
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.18472806873731437,
|
357 |
+
"grad_norm": 0.34932607412338257,
|
358 |
+
"learning_rate": 9.35776321804053e-05,
|
359 |
+
"loss": 0.704,
|
360 |
+
"step": 1250
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.18842263011206067,
|
364 |
+
"grad_norm": 0.4648846983909607,
|
365 |
+
"learning_rate": 9.338717050129514e-05,
|
366 |
+
"loss": 0.7419,
|
367 |
+
"step": 1275
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.19211719148680695,
|
371 |
+
"grad_norm": 0.4566064774990082,
|
372 |
+
"learning_rate": 9.319670882218498e-05,
|
373 |
+
"loss": 0.7318,
|
374 |
+
"step": 1300
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.19581175286155325,
|
378 |
+
"grad_norm": 0.5357668399810791,
|
379 |
+
"learning_rate": 9.300624714307481e-05,
|
380 |
+
"loss": 0.6973,
|
381 |
+
"step": 1325
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.19950631423629953,
|
385 |
+
"grad_norm": 0.4423241913318634,
|
386 |
+
"learning_rate": 9.281578546396466e-05,
|
387 |
+
"loss": 0.7298,
|
388 |
+
"step": 1350
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.20320087561104583,
|
392 |
+
"grad_norm": 0.4530033767223358,
|
393 |
+
"learning_rate": 9.26253237848545e-05,
|
394 |
+
"loss": 0.7161,
|
395 |
+
"step": 1375
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.2068954369857921,
|
399 |
+
"grad_norm": 0.4678841233253479,
|
400 |
+
"learning_rate": 9.243486210574433e-05,
|
401 |
+
"loss": 0.6972,
|
402 |
+
"step": 1400
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.21058999836053838,
|
406 |
+
"grad_norm": 0.6039907336235046,
|
407 |
+
"learning_rate": 9.224440042663417e-05,
|
408 |
+
"loss": 0.7165,
|
409 |
+
"step": 1425
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.21428455973528468,
|
413 |
+
"grad_norm": 0.4463271498680115,
|
414 |
+
"learning_rate": 9.2053938747524e-05,
|
415 |
+
"loss": 0.6863,
|
416 |
+
"step": 1450
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.21797912111003095,
|
420 |
+
"grad_norm": 0.5739301443099976,
|
421 |
+
"learning_rate": 9.186347706841384e-05,
|
422 |
+
"loss": 0.6907,
|
423 |
+
"step": 1475
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.22167368248477726,
|
427 |
+
"grad_norm": 0.4577805697917938,
|
428 |
+
"learning_rate": 9.167301538930367e-05,
|
429 |
+
"loss": 0.7114,
|
430 |
+
"step": 1500
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.22536824385952353,
|
434 |
+
"grad_norm": 0.4522150158882141,
|
435 |
+
"learning_rate": 9.14825537101935e-05,
|
436 |
+
"loss": 0.6877,
|
437 |
+
"step": 1525
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.22906280523426983,
|
441 |
+
"grad_norm": 0.49612903594970703,
|
442 |
+
"learning_rate": 9.129209203108335e-05,
|
443 |
+
"loss": 0.7112,
|
444 |
+
"step": 1550
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.2327573666090161,
|
448 |
+
"grad_norm": 0.4710284471511841,
|
449 |
+
"learning_rate": 9.11016303519732e-05,
|
450 |
+
"loss": 0.7062,
|
451 |
+
"step": 1575
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.2364519279837624,
|
455 |
+
"grad_norm": 0.5009223818778992,
|
456 |
+
"learning_rate": 9.091116867286303e-05,
|
457 |
+
"loss": 0.7275,
|
458 |
+
"step": 1600
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.24014648935850869,
|
462 |
+
"grad_norm": 0.5547946691513062,
|
463 |
+
"learning_rate": 9.072070699375286e-05,
|
464 |
+
"loss": 0.6993,
|
465 |
+
"step": 1625
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.243841050733255,
|
469 |
+
"grad_norm": 0.4580361843109131,
|
470 |
+
"learning_rate": 9.05302453146427e-05,
|
471 |
+
"loss": 0.7106,
|
472 |
+
"step": 1650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.24753561210800126,
|
476 |
+
"grad_norm": 0.4767173230648041,
|
477 |
+
"learning_rate": 9.033978363553254e-05,
|
478 |
+
"loss": 0.7103,
|
479 |
+
"step": 1675
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.25123017348274757,
|
483 |
+
"grad_norm": 0.502202570438385,
|
484 |
+
"learning_rate": 9.014932195642237e-05,
|
485 |
+
"loss": 0.6921,
|
486 |
+
"step": 1700
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.25492473485749384,
|
490 |
+
"grad_norm": 0.5283953547477722,
|
491 |
+
"learning_rate": 8.99588602773122e-05,
|
492 |
+
"loss": 0.7077,
|
493 |
+
"step": 1725
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.2586192962322401,
|
497 |
+
"grad_norm": 0.4994209408760071,
|
498 |
+
"learning_rate": 8.976839859820204e-05,
|
499 |
+
"loss": 0.7,
|
500 |
+
"step": 1750
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.2623138576069864,
|
504 |
+
"grad_norm": 0.48279210925102234,
|
505 |
+
"learning_rate": 8.957793691909188e-05,
|
506 |
+
"loss": 0.7114,
|
507 |
+
"step": 1775
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.2660084189817327,
|
511 |
+
"grad_norm": 0.6055914759635925,
|
512 |
+
"learning_rate": 8.938747523998172e-05,
|
513 |
+
"loss": 0.7081,
|
514 |
+
"step": 1800
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.269702980356479,
|
518 |
+
"grad_norm": 0.489519327878952,
|
519 |
+
"learning_rate": 8.919701356087156e-05,
|
520 |
+
"loss": 0.6946,
|
521 |
+
"step": 1825
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.27339754173122527,
|
525 |
+
"grad_norm": 0.5379961133003235,
|
526 |
+
"learning_rate": 8.90065518817614e-05,
|
527 |
+
"loss": 0.6996,
|
528 |
+
"step": 1850
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.27709210310597154,
|
532 |
+
"grad_norm": 0.47824332118034363,
|
533 |
+
"learning_rate": 8.881609020265123e-05,
|
534 |
+
"loss": 0.6881,
|
535 |
+
"step": 1875
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.2807866644807179,
|
539 |
+
"grad_norm": 1551.0594482421875,
|
540 |
+
"learning_rate": 8.862562852354107e-05,
|
541 |
+
"loss": 0.6998,
|
542 |
+
"step": 1900
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.28448122585546415,
|
546 |
+
"grad_norm": 0.4107681214809418,
|
547 |
+
"learning_rate": 8.84351668444309e-05,
|
548 |
+
"loss": 0.7088,
|
549 |
+
"step": 1925
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.2881757872302104,
|
553 |
+
"grad_norm": 0.4558309316635132,
|
554 |
+
"learning_rate": 8.824470516532074e-05,
|
555 |
+
"loss": 0.712,
|
556 |
+
"step": 1950
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.2918703486049567,
|
560 |
+
"grad_norm": 0.539107620716095,
|
561 |
+
"learning_rate": 8.805424348621057e-05,
|
562 |
+
"loss": 0.7159,
|
563 |
+
"step": 1975
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.295564909979703,
|
567 |
+
"grad_norm": 0.5768142938613892,
|
568 |
+
"learning_rate": 8.786378180710042e-05,
|
569 |
+
"loss": 0.7072,
|
570 |
+
"step": 2000
|
571 |
+
}
|
572 |
+
],
|
573 |
+
"logging_steps": 25,
|
574 |
+
"max_steps": 13532,
|
575 |
+
"num_input_tokens_seen": 0,
|
576 |
+
"num_train_epochs": 2,
|
577 |
+
"save_steps": 1000,
|
578 |
+
"stateful_callbacks": {
|
579 |
+
"TrainerControl": {
|
580 |
+
"args": {
|
581 |
+
"should_epoch_stop": false,
|
582 |
+
"should_evaluate": false,
|
583 |
+
"should_log": false,
|
584 |
+
"should_save": true,
|
585 |
+
"should_training_stop": false
|
586 |
+
},
|
587 |
+
"attributes": {}
|
588 |
+
}
|
589 |
+
},
|
590 |
+
"total_flos": 7.984663602081804e+18,
|
591 |
+
"train_batch_size": 1,
|
592 |
+
"trial_name": null,
|
593 |
+
"trial_params": null
|
594 |
+
}
|
checkpoint-2000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ddec6eef92f76dd21b66ba65fc3f8486e2d925551fb3a26f493b39225b02363f
|
3 |
+
size 5969
|
checkpoint-2000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|