First Commit
Browse filesr 16
lora-alpha 32
lora-dropout 0
max-seq-length 4096
save-steps 50
epochs 2
batch-size 16
warmup-steps 20
lr 2e-4
gradient-accumulation-steps 4
seed 42
- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +25 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +216 -0
- trainer_state.json +705 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ 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 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: unsloth/qwen2.5-coder-32b-instruct-bnb-4bit
|
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
|
adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/qwen2.5-coder-32b-instruct-bnb-4bit",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 32,
|
14 |
+
"lora_dropout": 0.0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 16,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"gate_proj",
|
25 |
+
"q_proj",
|
26 |
+
"up_proj",
|
27 |
+
"k_proj",
|
28 |
+
"o_proj",
|
29 |
+
"down_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc5916432819f392fda88c22b4031ff57ee49df558ab7e26fd9f5e66067fe584
|
3 |
+
size 536991984
|
added_tokens.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|PAD_TOKEN|>": 151665,
|
5 |
+
"<|box_end|>": 151649,
|
6 |
+
"<|box_start|>": 151648,
|
7 |
+
"<|endoftext|>": 151643,
|
8 |
+
"<|file_sep|>": 151664,
|
9 |
+
"<|fim_middle|>": 151660,
|
10 |
+
"<|fim_pad|>": 151662,
|
11 |
+
"<|fim_prefix|>": 151659,
|
12 |
+
"<|fim_suffix|>": 151661,
|
13 |
+
"<|im_end|>": 151645,
|
14 |
+
"<|im_start|>": 151644,
|
15 |
+
"<|image_pad|>": 151655,
|
16 |
+
"<|object_ref_end|>": 151647,
|
17 |
+
"<|object_ref_start|>": 151646,
|
18 |
+
"<|quad_end|>": 151651,
|
19 |
+
"<|quad_start|>": 151650,
|
20 |
+
"<|repo_name|>": 151663,
|
21 |
+
"<|video_pad|>": 151656,
|
22 |
+
"<|vision_end|>": 151653,
|
23 |
+
"<|vision_pad|>": 151654,
|
24 |
+
"<|vision_start|>": 151652
|
25 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8847d4e0ce3a497540d054b0ab094be96fee2a9f44983bf73cc3182ea291121
|
3 |
+
size 273683028
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ab8a86ebd08307e2f523a96051f4cd3063632227b8547bb8555e3ebd4d4b3da3
|
3 |
+
size 1064
|
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": "<|PAD_TOKEN|>",
|
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:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
|
3 |
+
size 11422086
|
tokenizer_config.json
ADDED
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "<|PAD_TOKEN|>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": true
|
188 |
+
}
|
189 |
+
},
|
190 |
+
"additional_special_tokens": [
|
191 |
+
"<|im_start|>",
|
192 |
+
"<|im_end|>",
|
193 |
+
"<|object_ref_start|>",
|
194 |
+
"<|object_ref_end|>",
|
195 |
+
"<|box_start|>",
|
196 |
+
"<|box_end|>",
|
197 |
+
"<|quad_start|>",
|
198 |
+
"<|quad_end|>",
|
199 |
+
"<|vision_start|>",
|
200 |
+
"<|vision_end|>",
|
201 |
+
"<|vision_pad|>",
|
202 |
+
"<|image_pad|>",
|
203 |
+
"<|video_pad|>"
|
204 |
+
],
|
205 |
+
"bos_token": null,
|
206 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\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 {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %} {{- '<|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{%- endif %}\n",
|
207 |
+
"clean_up_tokenization_spaces": false,
|
208 |
+
"eos_token": "<|im_end|>",
|
209 |
+
"errors": "replace",
|
210 |
+
"model_max_length": 32768,
|
211 |
+
"pad_token": "<|PAD_TOKEN|>",
|
212 |
+
"padding_side": "right",
|
213 |
+
"split_special_tokens": false,
|
214 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
215 |
+
"unk_token": null
|
216 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,705 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9973992197659298,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 384,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02080624187256177,
|
13 |
+
"grad_norm": 0.6747086644172668,
|
14 |
+
"learning_rate": 4e-05,
|
15 |
+
"loss": 1.2614,
|
16 |
+
"step": 4
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04161248374512354,
|
20 |
+
"grad_norm": 0.8340696096420288,
|
21 |
+
"learning_rate": 8e-05,
|
22 |
+
"loss": 1.0737,
|
23 |
+
"step": 8
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06241872561768531,
|
27 |
+
"grad_norm": 0.35006779432296753,
|
28 |
+
"learning_rate": 0.00012,
|
29 |
+
"loss": 0.5388,
|
30 |
+
"step": 12
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08322496749024708,
|
34 |
+
"grad_norm": 0.13230730593204498,
|
35 |
+
"learning_rate": 0.00016,
|
36 |
+
"loss": 0.3531,
|
37 |
+
"step": 16
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.10403120936280884,
|
41 |
+
"grad_norm": 0.2690051198005676,
|
42 |
+
"learning_rate": 0.0002,
|
43 |
+
"loss": 0.2815,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12483745123537061,
|
48 |
+
"grad_norm": 0.13100554049015045,
|
49 |
+
"learning_rate": 0.0001978021978021978,
|
50 |
+
"loss": 0.228,
|
51 |
+
"step": 24
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14564369310793238,
|
55 |
+
"grad_norm": 0.12533320486545563,
|
56 |
+
"learning_rate": 0.00019560439560439562,
|
57 |
+
"loss": 0.2046,
|
58 |
+
"step": 28
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16644993498049415,
|
62 |
+
"grad_norm": 0.08659245818853378,
|
63 |
+
"learning_rate": 0.00019340659340659342,
|
64 |
+
"loss": 0.179,
|
65 |
+
"step": 32
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18725617685305593,
|
69 |
+
"grad_norm": 0.08915656059980392,
|
70 |
+
"learning_rate": 0.00019120879120879122,
|
71 |
+
"loss": 0.1853,
|
72 |
+
"step": 36
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.20806241872561768,
|
76 |
+
"grad_norm": 0.08073730021715164,
|
77 |
+
"learning_rate": 0.00018901098901098903,
|
78 |
+
"loss": 0.1594,
|
79 |
+
"step": 40
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22886866059817945,
|
83 |
+
"grad_norm": 0.08706673234701157,
|
84 |
+
"learning_rate": 0.00018681318681318683,
|
85 |
+
"loss": 0.1623,
|
86 |
+
"step": 44
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24967490247074123,
|
90 |
+
"grad_norm": 0.08052384108304977,
|
91 |
+
"learning_rate": 0.00018461538461538463,
|
92 |
+
"loss": 0.1469,
|
93 |
+
"step": 48
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.270481144343303,
|
97 |
+
"grad_norm": 0.07896815240383148,
|
98 |
+
"learning_rate": 0.0001824175824175824,
|
99 |
+
"loss": 0.1503,
|
100 |
+
"step": 52
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.29128738621586475,
|
104 |
+
"grad_norm": 0.09580652415752411,
|
105 |
+
"learning_rate": 0.00018021978021978024,
|
106 |
+
"loss": 0.1504,
|
107 |
+
"step": 56
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.31209362808842656,
|
111 |
+
"grad_norm": 0.1383538842201233,
|
112 |
+
"learning_rate": 0.00017802197802197802,
|
113 |
+
"loss": 0.139,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.3328998699609883,
|
118 |
+
"grad_norm": 0.08063507080078125,
|
119 |
+
"learning_rate": 0.00017582417582417582,
|
120 |
+
"loss": 0.1299,
|
121 |
+
"step": 64
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.35370611183355005,
|
125 |
+
"grad_norm": 0.12305614352226257,
|
126 |
+
"learning_rate": 0.00017362637362637365,
|
127 |
+
"loss": 0.1299,
|
128 |
+
"step": 68
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.37451235370611186,
|
132 |
+
"grad_norm": 0.144222691655159,
|
133 |
+
"learning_rate": 0.00017142857142857143,
|
134 |
+
"loss": 0.1456,
|
135 |
+
"step": 72
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.3953185955786736,
|
139 |
+
"grad_norm": 0.10816789418458939,
|
140 |
+
"learning_rate": 0.00016923076923076923,
|
141 |
+
"loss": 0.1449,
|
142 |
+
"step": 76
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.41612483745123535,
|
146 |
+
"grad_norm": 0.09802815318107605,
|
147 |
+
"learning_rate": 0.00016703296703296706,
|
148 |
+
"loss": 0.1337,
|
149 |
+
"step": 80
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.43693107932379716,
|
153 |
+
"grad_norm": 0.09102603048086166,
|
154 |
+
"learning_rate": 0.00016483516483516484,
|
155 |
+
"loss": 0.1188,
|
156 |
+
"step": 84
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.4577373211963589,
|
160 |
+
"grad_norm": 0.08224384486675262,
|
161 |
+
"learning_rate": 0.00016263736263736264,
|
162 |
+
"loss": 0.1253,
|
163 |
+
"step": 88
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.47854356306892065,
|
167 |
+
"grad_norm": 0.08681938797235489,
|
168 |
+
"learning_rate": 0.00016043956043956044,
|
169 |
+
"loss": 0.138,
|
170 |
+
"step": 92
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.49934980494148246,
|
174 |
+
"grad_norm": 0.1142863929271698,
|
175 |
+
"learning_rate": 0.00015824175824175824,
|
176 |
+
"loss": 0.1454,
|
177 |
+
"step": 96
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5201560468140443,
|
181 |
+
"grad_norm": 0.14234645664691925,
|
182 |
+
"learning_rate": 0.00015604395604395605,
|
183 |
+
"loss": 0.1257,
|
184 |
+
"step": 100
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.540962288686606,
|
188 |
+
"grad_norm": 0.09189997613430023,
|
189 |
+
"learning_rate": 0.00015384615384615385,
|
190 |
+
"loss": 0.1241,
|
191 |
+
"step": 104
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5617685305591678,
|
195 |
+
"grad_norm": 0.09716198593378067,
|
196 |
+
"learning_rate": 0.00015164835164835165,
|
197 |
+
"loss": 0.1257,
|
198 |
+
"step": 108
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5825747724317295,
|
202 |
+
"grad_norm": 0.10805213451385498,
|
203 |
+
"learning_rate": 0.00014945054945054946,
|
204 |
+
"loss": 0.1202,
|
205 |
+
"step": 112
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.6033810143042913,
|
209 |
+
"grad_norm": 0.11224936693906784,
|
210 |
+
"learning_rate": 0.00014725274725274726,
|
211 |
+
"loss": 0.1325,
|
212 |
+
"step": 116
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6241872561768531,
|
216 |
+
"grad_norm": 0.0994434505701065,
|
217 |
+
"learning_rate": 0.00014505494505494506,
|
218 |
+
"loss": 0.1127,
|
219 |
+
"step": 120
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6449934980494149,
|
223 |
+
"grad_norm": 0.1242934837937355,
|
224 |
+
"learning_rate": 0.00014285714285714287,
|
225 |
+
"loss": 0.1286,
|
226 |
+
"step": 124
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6657997399219766,
|
230 |
+
"grad_norm": 0.0908965989947319,
|
231 |
+
"learning_rate": 0.00014065934065934067,
|
232 |
+
"loss": 0.1245,
|
233 |
+
"step": 128
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6866059817945384,
|
237 |
+
"grad_norm": 0.1325254738330841,
|
238 |
+
"learning_rate": 0.00013846153846153847,
|
239 |
+
"loss": 0.1233,
|
240 |
+
"step": 132
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.7074122236671001,
|
244 |
+
"grad_norm": 0.11704779416322708,
|
245 |
+
"learning_rate": 0.00013626373626373628,
|
246 |
+
"loss": 0.1172,
|
247 |
+
"step": 136
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7282184655396619,
|
251 |
+
"grad_norm": 0.10394897311925888,
|
252 |
+
"learning_rate": 0.00013406593406593405,
|
253 |
+
"loss": 0.1337,
|
254 |
+
"step": 140
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.7490247074122237,
|
258 |
+
"grad_norm": 0.14531978964805603,
|
259 |
+
"learning_rate": 0.00013186813186813188,
|
260 |
+
"loss": 0.1344,
|
261 |
+
"step": 144
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7698309492847855,
|
265 |
+
"grad_norm": 0.10536228120326996,
|
266 |
+
"learning_rate": 0.0001296703296703297,
|
267 |
+
"loss": 0.1153,
|
268 |
+
"step": 148
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7906371911573472,
|
272 |
+
"grad_norm": 0.46365121006965637,
|
273 |
+
"learning_rate": 0.00012747252747252746,
|
274 |
+
"loss": 0.1248,
|
275 |
+
"step": 152
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.811443433029909,
|
279 |
+
"grad_norm": 0.148798406124115,
|
280 |
+
"learning_rate": 0.00012527472527472527,
|
281 |
+
"loss": 0.1255,
|
282 |
+
"step": 156
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8322496749024707,
|
286 |
+
"grad_norm": 0.10342266410589218,
|
287 |
+
"learning_rate": 0.0001230769230769231,
|
288 |
+
"loss": 0.1172,
|
289 |
+
"step": 160
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.8530559167750326,
|
293 |
+
"grad_norm": 0.09427472203969955,
|
294 |
+
"learning_rate": 0.00012087912087912087,
|
295 |
+
"loss": 0.1076,
|
296 |
+
"step": 164
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.8738621586475943,
|
300 |
+
"grad_norm": 0.1485118865966797,
|
301 |
+
"learning_rate": 0.00011868131868131869,
|
302 |
+
"loss": 0.1218,
|
303 |
+
"step": 168
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8946684005201561,
|
307 |
+
"grad_norm": 0.18458151817321777,
|
308 |
+
"learning_rate": 0.0001164835164835165,
|
309 |
+
"loss": 0.1287,
|
310 |
+
"step": 172
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.9154746423927178,
|
314 |
+
"grad_norm": 0.1004214808344841,
|
315 |
+
"learning_rate": 0.00011428571428571428,
|
316 |
+
"loss": 0.1265,
|
317 |
+
"step": 176
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9362808842652796,
|
321 |
+
"grad_norm": 0.10855648666620255,
|
322 |
+
"learning_rate": 0.0001120879120879121,
|
323 |
+
"loss": 0.103,
|
324 |
+
"step": 180
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.9570871261378413,
|
328 |
+
"grad_norm": 0.15261195600032806,
|
329 |
+
"learning_rate": 0.0001098901098901099,
|
330 |
+
"loss": 0.1251,
|
331 |
+
"step": 184
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.9778933680104032,
|
335 |
+
"grad_norm": 0.12982791662216187,
|
336 |
+
"learning_rate": 0.0001076923076923077,
|
337 |
+
"loss": 0.1162,
|
338 |
+
"step": 188
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9986996098829649,
|
342 |
+
"grad_norm": 0.09743143618106842,
|
343 |
+
"learning_rate": 0.0001054945054945055,
|
344 |
+
"loss": 0.1126,
|
345 |
+
"step": 192
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.0195058517555267,
|
349 |
+
"grad_norm": 0.0987514778971672,
|
350 |
+
"learning_rate": 0.00010329670329670331,
|
351 |
+
"loss": 0.1096,
|
352 |
+
"step": 196
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0403120936280885,
|
356 |
+
"grad_norm": 0.11746949702501297,
|
357 |
+
"learning_rate": 0.0001010989010989011,
|
358 |
+
"loss": 0.1064,
|
359 |
+
"step": 200
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0611183355006502,
|
363 |
+
"grad_norm": 0.12490434944629669,
|
364 |
+
"learning_rate": 9.89010989010989e-05,
|
365 |
+
"loss": 0.0924,
|
366 |
+
"step": 204
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.081924577373212,
|
370 |
+
"grad_norm": 0.13480301201343536,
|
371 |
+
"learning_rate": 9.670329670329671e-05,
|
372 |
+
"loss": 0.1042,
|
373 |
+
"step": 208
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.1027308192457737,
|
377 |
+
"grad_norm": 0.10744661092758179,
|
378 |
+
"learning_rate": 9.450549450549451e-05,
|
379 |
+
"loss": 0.0883,
|
380 |
+
"step": 212
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.1235370611183355,
|
384 |
+
"grad_norm": 0.1190573051571846,
|
385 |
+
"learning_rate": 9.230769230769232e-05,
|
386 |
+
"loss": 0.0989,
|
387 |
+
"step": 216
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.1443433029908974,
|
391 |
+
"grad_norm": 0.10405765473842621,
|
392 |
+
"learning_rate": 9.010989010989012e-05,
|
393 |
+
"loss": 0.0851,
|
394 |
+
"step": 220
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.165149544863459,
|
398 |
+
"grad_norm": 0.11977458000183105,
|
399 |
+
"learning_rate": 8.791208791208791e-05,
|
400 |
+
"loss": 0.0891,
|
401 |
+
"step": 224
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.1859557867360209,
|
405 |
+
"grad_norm": 0.12529583275318146,
|
406 |
+
"learning_rate": 8.571428571428571e-05,
|
407 |
+
"loss": 0.0961,
|
408 |
+
"step": 228
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.2067620286085825,
|
412 |
+
"grad_norm": 0.11154180020093918,
|
413 |
+
"learning_rate": 8.351648351648353e-05,
|
414 |
+
"loss": 0.0854,
|
415 |
+
"step": 232
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.2275682704811444,
|
419 |
+
"grad_norm": 0.14236748218536377,
|
420 |
+
"learning_rate": 8.131868131868132e-05,
|
421 |
+
"loss": 0.102,
|
422 |
+
"step": 236
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.2483745123537062,
|
426 |
+
"grad_norm": 0.10751450061798096,
|
427 |
+
"learning_rate": 7.912087912087912e-05,
|
428 |
+
"loss": 0.099,
|
429 |
+
"step": 240
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.2691807542262679,
|
433 |
+
"grad_norm": 0.1208043098449707,
|
434 |
+
"learning_rate": 7.692307692307693e-05,
|
435 |
+
"loss": 0.0929,
|
436 |
+
"step": 244
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.2899869960988297,
|
440 |
+
"grad_norm": 0.11843656748533249,
|
441 |
+
"learning_rate": 7.472527472527473e-05,
|
442 |
+
"loss": 0.0975,
|
443 |
+
"step": 248
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.3107932379713914,
|
447 |
+
"grad_norm": 0.13307110965251923,
|
448 |
+
"learning_rate": 7.252747252747253e-05,
|
449 |
+
"loss": 0.0929,
|
450 |
+
"step": 252
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.3315994798439532,
|
454 |
+
"grad_norm": 0.14217737317085266,
|
455 |
+
"learning_rate": 7.032967032967034e-05,
|
456 |
+
"loss": 0.0897,
|
457 |
+
"step": 256
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.352405721716515,
|
461 |
+
"grad_norm": 0.2811494469642639,
|
462 |
+
"learning_rate": 6.813186813186814e-05,
|
463 |
+
"loss": 0.0868,
|
464 |
+
"step": 260
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.3732119635890767,
|
468 |
+
"grad_norm": 0.13263148069381714,
|
469 |
+
"learning_rate": 6.593406593406594e-05,
|
470 |
+
"loss": 0.0995,
|
471 |
+
"step": 264
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.3940182054616386,
|
475 |
+
"grad_norm": 0.13853707909584045,
|
476 |
+
"learning_rate": 6.373626373626373e-05,
|
477 |
+
"loss": 0.0925,
|
478 |
+
"step": 268
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.4148244473342002,
|
482 |
+
"grad_norm": 0.18387623131275177,
|
483 |
+
"learning_rate": 6.153846153846155e-05,
|
484 |
+
"loss": 0.095,
|
485 |
+
"step": 272
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.435630689206762,
|
489 |
+
"grad_norm": 0.13655337691307068,
|
490 |
+
"learning_rate": 5.9340659340659345e-05,
|
491 |
+
"loss": 0.0962,
|
492 |
+
"step": 276
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.456436931079324,
|
496 |
+
"grad_norm": 0.12651769816875458,
|
497 |
+
"learning_rate": 5.714285714285714e-05,
|
498 |
+
"loss": 0.0893,
|
499 |
+
"step": 280
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.4772431729518856,
|
503 |
+
"grad_norm": 0.12896397709846497,
|
504 |
+
"learning_rate": 5.494505494505495e-05,
|
505 |
+
"loss": 0.0941,
|
506 |
+
"step": 284
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.4980494148244472,
|
510 |
+
"grad_norm": 0.12387780100107193,
|
511 |
+
"learning_rate": 5.274725274725275e-05,
|
512 |
+
"loss": 0.0914,
|
513 |
+
"step": 288
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.518855656697009,
|
517 |
+
"grad_norm": 0.13148820400238037,
|
518 |
+
"learning_rate": 5.054945054945055e-05,
|
519 |
+
"loss": 0.0879,
|
520 |
+
"step": 292
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.539661898569571,
|
524 |
+
"grad_norm": 0.14551299810409546,
|
525 |
+
"learning_rate": 4.8351648351648355e-05,
|
526 |
+
"loss": 0.0892,
|
527 |
+
"step": 296
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.5604681404421328,
|
531 |
+
"grad_norm": 0.14105795323848724,
|
532 |
+
"learning_rate": 4.615384615384616e-05,
|
533 |
+
"loss": 0.0957,
|
534 |
+
"step": 300
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.5812743823146944,
|
538 |
+
"grad_norm": 0.16130925714969635,
|
539 |
+
"learning_rate": 4.3956043956043955e-05,
|
540 |
+
"loss": 0.0822,
|
541 |
+
"step": 304
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.602080624187256,
|
545 |
+
"grad_norm": 0.13052895665168762,
|
546 |
+
"learning_rate": 4.1758241758241765e-05,
|
547 |
+
"loss": 0.083,
|
548 |
+
"step": 308
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.622886866059818,
|
552 |
+
"grad_norm": 0.14026325941085815,
|
553 |
+
"learning_rate": 3.956043956043956e-05,
|
554 |
+
"loss": 0.0854,
|
555 |
+
"step": 312
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.6436931079323798,
|
559 |
+
"grad_norm": 0.12488283216953278,
|
560 |
+
"learning_rate": 3.7362637362637365e-05,
|
561 |
+
"loss": 0.085,
|
562 |
+
"step": 316
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.6644993498049416,
|
566 |
+
"grad_norm": 0.13594555854797363,
|
567 |
+
"learning_rate": 3.516483516483517e-05,
|
568 |
+
"loss": 0.0889,
|
569 |
+
"step": 320
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.6853055916775033,
|
573 |
+
"grad_norm": 0.1322001814842224,
|
574 |
+
"learning_rate": 3.296703296703297e-05,
|
575 |
+
"loss": 0.0863,
|
576 |
+
"step": 324
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.706111833550065,
|
580 |
+
"grad_norm": 0.1550651490688324,
|
581 |
+
"learning_rate": 3.0769230769230774e-05,
|
582 |
+
"loss": 0.0888,
|
583 |
+
"step": 328
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.7269180754226268,
|
587 |
+
"grad_norm": 0.13711196184158325,
|
588 |
+
"learning_rate": 2.857142857142857e-05,
|
589 |
+
"loss": 0.0883,
|
590 |
+
"step": 332
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.7477243172951886,
|
594 |
+
"grad_norm": 0.14158359169960022,
|
595 |
+
"learning_rate": 2.6373626373626374e-05,
|
596 |
+
"loss": 0.0872,
|
597 |
+
"step": 336
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.7685305591677505,
|
601 |
+
"grad_norm": 0.14009161293506622,
|
602 |
+
"learning_rate": 2.4175824175824177e-05,
|
603 |
+
"loss": 0.0876,
|
604 |
+
"step": 340
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.7893368010403121,
|
608 |
+
"grad_norm": 0.1278422623872757,
|
609 |
+
"learning_rate": 2.1978021978021977e-05,
|
610 |
+
"loss": 0.0948,
|
611 |
+
"step": 344
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.8101430429128738,
|
615 |
+
"grad_norm": 0.16997836530208588,
|
616 |
+
"learning_rate": 1.978021978021978e-05,
|
617 |
+
"loss": 0.0881,
|
618 |
+
"step": 348
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.8309492847854356,
|
622 |
+
"grad_norm": 0.17075221240520477,
|
623 |
+
"learning_rate": 1.7582417582417584e-05,
|
624 |
+
"loss": 0.0838,
|
625 |
+
"step": 352
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.8517555266579975,
|
629 |
+
"grad_norm": 0.13163046538829803,
|
630 |
+
"learning_rate": 1.5384615384615387e-05,
|
631 |
+
"loss": 0.0868,
|
632 |
+
"step": 356
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.8725617685305593,
|
636 |
+
"grad_norm": 0.12678372859954834,
|
637 |
+
"learning_rate": 1.3186813186813187e-05,
|
638 |
+
"loss": 0.0894,
|
639 |
+
"step": 360
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.893368010403121,
|
643 |
+
"grad_norm": 0.15091709792613983,
|
644 |
+
"learning_rate": 1.0989010989010989e-05,
|
645 |
+
"loss": 0.092,
|
646 |
+
"step": 364
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.9141742522756826,
|
650 |
+
"grad_norm": 0.13614249229431152,
|
651 |
+
"learning_rate": 8.791208791208792e-06,
|
652 |
+
"loss": 0.0829,
|
653 |
+
"step": 368
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.9349804941482445,
|
657 |
+
"grad_norm": 0.13656853139400482,
|
658 |
+
"learning_rate": 6.5934065934065935e-06,
|
659 |
+
"loss": 0.0892,
|
660 |
+
"step": 372
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.9557867360208063,
|
664 |
+
"grad_norm": 0.140973761677742,
|
665 |
+
"learning_rate": 4.395604395604396e-06,
|
666 |
+
"loss": 0.0848,
|
667 |
+
"step": 376
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.976592977893368,
|
671 |
+
"grad_norm": 0.1271371990442276,
|
672 |
+
"learning_rate": 2.197802197802198e-06,
|
673 |
+
"loss": 0.0757,
|
674 |
+
"step": 380
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.9973992197659298,
|
678 |
+
"grad_norm": 0.17182095348834991,
|
679 |
+
"learning_rate": 0.0,
|
680 |
+
"loss": 0.0872,
|
681 |
+
"step": 384
|
682 |
+
}
|
683 |
+
],
|
684 |
+
"logging_steps": 4,
|
685 |
+
"max_steps": 384,
|
686 |
+
"num_input_tokens_seen": 0,
|
687 |
+
"num_train_epochs": 2,
|
688 |
+
"save_steps": 50,
|
689 |
+
"stateful_callbacks": {
|
690 |
+
"TrainerControl": {
|
691 |
+
"args": {
|
692 |
+
"should_epoch_stop": false,
|
693 |
+
"should_evaluate": false,
|
694 |
+
"should_log": false,
|
695 |
+
"should_save": true,
|
696 |
+
"should_training_stop": true
|
697 |
+
},
|
698 |
+
"attributes": {}
|
699 |
+
}
|
700 |
+
},
|
701 |
+
"total_flos": 8.091116577734861e+18,
|
702 |
+
"train_batch_size": 16,
|
703 |
+
"trial_name": null,
|
704 |
+
"trial_params": null
|
705 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:995efc3f8b3d2db1d9fb75eeb43a9d9d711674de4b0e7d6a532481bb2be7e68d
|
3 |
+
size 5496
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|