Upload folder using huggingface_hub
Browse files- .DS_Store +0 -0
- .gitattributes +3 -0
- TextUI-Cap-7B/README.md +202 -0
- TextUI-Cap-7B/adapter_config.json +39 -0
- TextUI-Cap-7B/adapter_model.safetensors +3 -0
- TextUI-Cap-7B/added_tokens.json +24 -0
- TextUI-Cap-7B/merges.txt +0 -0
- TextUI-Cap-7B/special_tokens_map.json +31 -0
- TextUI-Cap-7B/tokenizer.json +3 -0
- TextUI-Cap-7B/tokenizer_config.json +209 -0
- TextUI-Cap-7B/trainer_log.jsonl +110 -0
- TextUI-Cap-7B/trainer_state.json +814 -0
- TextUI-Cap-7B/training_args.bin +3 -0
- TextUI-Cap-7B/vocab.json +0 -0
- TextUI-Func-7B/README.md +76 -0
- TextUI-Func-7B/adapter_config.json +39 -0
- TextUI-Func-7B/adapter_model.safetensors +3 -0
- TextUI-Func-7B/added_tokens.json +24 -0
- TextUI-Func-7B/all_results.json +12 -0
- TextUI-Func-7B/eval_results.json +7 -0
- TextUI-Func-7B/merges.txt +0 -0
- TextUI-Func-7B/runs/events.out.tfevents.1749786583.autodl-container-40b74f9912-ad7efc16.23496.0 +3 -0
- TextUI-Func-7B/runs/events.out.tfevents.1749796231.autodl-container-40b74f9912-ad7efc16.23496.1 +3 -0
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- TextUI-Func-7B/tokenizer.json +3 -0
- TextUI-Func-7B/tokenizer_config.json +209 -0
- TextUI-Func-7B/train_results.json +8 -0
- TextUI-Func-7B/trainer_log.jsonl +261 -0
- TextUI-Func-7B/trainer_state.json +1873 -0
- TextUI-Func-7B/training_args.bin +3 -0
- TextUI-Func-7B/training_eval_loss.png +0 -0
- TextUI-Func-7B/training_loss.png +0 -0
- TextUI-Func-7B/vocab.json +0 -0
- TextUI-Trans-7B/README.md +202 -0
- TextUI-Trans-7B/adapter_config.json +39 -0
- TextUI-Trans-7B/adapter_model.safetensors +3 -0
- TextUI-Trans-7B/added_tokens.json +24 -0
- TextUI-Trans-7B/merges.txt +0 -0
- TextUI-Trans-7B/special_tokens_map.json +31 -0
- TextUI-Trans-7B/tokenizer.json +3 -0
- TextUI-Trans-7B/tokenizer_config.json +209 -0
- TextUI-Trans-7B/trainer_log.jsonl +169 -0
- TextUI-Trans-7B/trainer_state.json +1132 -0
- TextUI-Trans-7B/training_args.bin +3 -0
- TextUI-Trans-7B/vocab.json +0 -0
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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TextUI-Cap-7B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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TextUI-Func-7B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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TextUI-Trans-7B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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TextUI-Cap-7B/README.md
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| 1 |
+
---
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| 2 |
+
base_model: /root/autodl-fs/Qwen2.5-7B-Instruct
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| 3 |
+
library_name: peft
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| 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]
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| 21 |
+
- **Funded by [optional]:** [More Information Needed]
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| 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 |
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| 88 |
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#### Preprocessing [optional]
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| 89 |
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| 90 |
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[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 |
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|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
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| 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 |
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|
| 134 |
+
|
| 135 |
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## 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 |
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### Compute Infrastructure
|
| 160 |
+
|
| 161 |
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[More Information Needed]
|
| 162 |
+
|
| 163 |
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#### Hardware
|
| 164 |
+
|
| 165 |
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[More Information Needed]
|
| 166 |
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|
| 167 |
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#### Software
|
| 168 |
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|
| 169 |
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[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 |
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## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
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[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.15.1
|
TextUI-Cap-7B/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
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{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/root/autodl-fs/Qwen2.5-7B-Instruct",
|
| 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 |
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"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.0,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 16,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
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"target_modules": [
|
| 27 |
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"v_proj",
|
| 28 |
+
"q_proj",
|
| 29 |
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"up_proj",
|
| 30 |
+
"gate_proj",
|
| 31 |
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"down_proj",
|
| 32 |
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"k_proj",
|
| 33 |
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"o_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": "CAUSAL_LM",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
TextUI-Cap-7B/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:7e1ffe3e8171c896b957a27c4245fa27db8abdb734239414307fb8f345d49211
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| 3 |
+
size 161533192
|
TextUI-Cap-7B/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
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| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
TextUI-Cap-7B/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
TextUI-Cap-7B/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
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| 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": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
TextUI-Cap-7B/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
TextUI-Cap-7B/tokenizer_config.json
ADDED
|
@@ -0,0 +1,209 @@
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|
|
|
|
|
|
|
|
| 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 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"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\") %}\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{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"padding_side": "right",
|
| 206 |
+
"split_special_tokens": false,
|
| 207 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 208 |
+
"unk_token": null
|
| 209 |
+
}
|
TextUI-Cap-7B/trainer_log.jsonl
ADDED
|
@@ -0,0 +1,110 @@
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|
| 1 |
+
{"current_steps": 1, "total_steps": 100, "loss": 1.9336, "lr": 0.0, "epoch": 0.03524229074889868, "percentage": 1.0, "elapsed_time": "0:00:15", "remaining_time": "0:25:05"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 100, "loss": 2.048, "lr": 1e-05, "epoch": 0.07048458149779736, "percentage": 2.0, "elapsed_time": "0:00:33", "remaining_time": "0:27:38"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 100, "loss": 1.9311, "lr": 2e-05, "epoch": 0.10572687224669604, "percentage": 3.0, "elapsed_time": "0:00:56", "remaining_time": "0:30:26"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 100, "loss": 1.9814, "lr": 3e-05, "epoch": 0.14096916299559473, "percentage": 4.0, "elapsed_time": "0:01:16", "remaining_time": "0:30:33"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 100, "loss": 1.9955, "lr": 4e-05, "epoch": 0.1762114537444934, "percentage": 5.0, "elapsed_time": "0:01:32", "remaining_time": "0:29:14"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 100, "loss": 1.874, "lr": 5e-05, "epoch": 0.21145374449339208, "percentage": 6.0, "elapsed_time": "0:01:48", "remaining_time": "0:28:18"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 100, "loss": 1.7726, "lr": 6e-05, "epoch": 0.24669603524229075, "percentage": 7.0, "elapsed_time": "0:02:09", "remaining_time": "0:28:44"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 100, "loss": 1.6056, "lr": 7e-05, "epoch": 0.28193832599118945, "percentage": 8.0, "elapsed_time": "0:02:26", "remaining_time": "0:28:04"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 100, "loss": 1.4883, "lr": 8e-05, "epoch": 0.31718061674008813, "percentage": 9.0, "elapsed_time": "0:02:44", "remaining_time": "0:27:45"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 100, "loss": 1.3543, "lr": 9e-05, "epoch": 0.3524229074889868, "percentage": 10.0, "elapsed_time": "0:03:07", "remaining_time": "0:28:07"}
|
| 11 |
+
{"current_steps": 10, "total_steps": 100, "eval_loss": 1.2461069822311401, "epoch": 0.3524229074889868, "percentage": 10.0, "elapsed_time": "0:03:32", "remaining_time": "0:31:55"}
|
| 12 |
+
{"current_steps": 11, "total_steps": 100, "loss": 1.253, "lr": 0.0001, "epoch": 0.3876651982378855, "percentage": 11.0, "elapsed_time": "0:03:48", "remaining_time": "0:30:49"}
|
| 13 |
+
{"current_steps": 12, "total_steps": 100, "loss": 1.1504, "lr": 0.00011000000000000002, "epoch": 0.42290748898678415, "percentage": 12.0, "elapsed_time": "0:04:05", "remaining_time": "0:29:58"}
|
| 14 |
+
{"current_steps": 13, "total_steps": 100, "loss": 1.1904, "lr": 0.00012, "epoch": 0.4581497797356828, "percentage": 13.0, "elapsed_time": "0:04:23", "remaining_time": "0:29:25"}
|
| 15 |
+
{"current_steps": 14, "total_steps": 100, "loss": 1.065, "lr": 0.00013000000000000002, "epoch": 0.4933920704845815, "percentage": 14.0, "elapsed_time": "0:04:40", "remaining_time": "0:28:42"}
|
| 16 |
+
{"current_steps": 15, "total_steps": 100, "loss": 1.0323, "lr": 0.00014, "epoch": 0.5286343612334802, "percentage": 15.0, "elapsed_time": "0:05:01", "remaining_time": "0:28:26"}
|
| 17 |
+
{"current_steps": 16, "total_steps": 100, "loss": 0.967, "lr": 0.00015000000000000001, "epoch": 0.5638766519823789, "percentage": 16.0, "elapsed_time": "0:05:16", "remaining_time": "0:27:43"}
|
| 18 |
+
{"current_steps": 17, "total_steps": 100, "loss": 0.9886, "lr": 0.00016, "epoch": 0.5991189427312775, "percentage": 17.0, "elapsed_time": "0:05:34", "remaining_time": "0:27:12"}
|
| 19 |
+
{"current_steps": 18, "total_steps": 100, "loss": 0.9052, "lr": 0.00017, "epoch": 0.6343612334801763, "percentage": 18.0, "elapsed_time": "0:05:51", "remaining_time": "0:26:39"}
|
| 20 |
+
{"current_steps": 19, "total_steps": 100, "loss": 0.8916, "lr": 0.00018, "epoch": 0.6696035242290749, "percentage": 19.0, "elapsed_time": "0:06:12", "remaining_time": "0:26:26"}
|
| 21 |
+
{"current_steps": 20, "total_steps": 100, "loss": 0.8508, "lr": 0.00019, "epoch": 0.7048458149779736, "percentage": 20.0, "elapsed_time": "0:06:29", "remaining_time": "0:25:57"}
|
| 22 |
+
{"current_steps": 20, "total_steps": 100, "eval_loss": 0.8256819844245911, "epoch": 0.7048458149779736, "percentage": 20.0, "elapsed_time": "0:06:54", "remaining_time": "0:27:39"}
|
| 23 |
+
{"current_steps": 21, "total_steps": 100, "loss": 0.837, "lr": 0.0002, "epoch": 0.7400881057268722, "percentage": 21.0, "elapsed_time": "0:07:10", "remaining_time": "0:27:00"}
|
| 24 |
+
{"current_steps": 22, "total_steps": 100, "loss": 0.8872, "lr": 0.0001999229036240723, "epoch": 0.775330396475771, "percentage": 22.0, "elapsed_time": "0:07:30", "remaining_time": "0:26:35"}
|
| 25 |
+
{"current_steps": 23, "total_steps": 100, "loss": 0.8076, "lr": 0.0001996917333733128, "epoch": 0.8105726872246696, "percentage": 23.0, "elapsed_time": "0:07:47", "remaining_time": "0:26:04"}
|
| 26 |
+
{"current_steps": 24, "total_steps": 100, "loss": 0.8181, "lr": 0.00019930684569549264, "epoch": 0.8458149779735683, "percentage": 24.0, "elapsed_time": "0:08:02", "remaining_time": "0:25:28"}
|
| 27 |
+
{"current_steps": 25, "total_steps": 100, "loss": 0.8081, "lr": 0.00019876883405951377, "epoch": 0.8810572687224669, "percentage": 25.0, "elapsed_time": "0:08:20", "remaining_time": "0:25:01"}
|
| 28 |
+
{"current_steps": 26, "total_steps": 100, "loss": 0.7206, "lr": 0.00019807852804032305, "epoch": 0.9162995594713657, "percentage": 26.0, "elapsed_time": "0:08:34", "remaining_time": "0:24:23"}
|
| 29 |
+
{"current_steps": 27, "total_steps": 100, "loss": 0.7821, "lr": 0.00019723699203976766, "epoch": 0.9515418502202643, "percentage": 27.0, "elapsed_time": "0:08:52", "remaining_time": "0:23:58"}
|
| 30 |
+
{"current_steps": 28, "total_steps": 100, "loss": 0.7356, "lr": 0.00019624552364536473, "epoch": 0.986784140969163, "percentage": 28.0, "elapsed_time": "0:09:10", "remaining_time": "0:23:34"}
|
| 31 |
+
{"current_steps": 29, "total_steps": 100, "loss": 0.7774, "lr": 0.00019510565162951537, "epoch": 1.0, "percentage": 29.0, "elapsed_time": "0:09:20", "remaining_time": "0:22:53"}
|
| 32 |
+
{"current_steps": 30, "total_steps": 100, "loss": 0.7069, "lr": 0.00019381913359224842, "epoch": 1.0352422907488987, "percentage": 30.0, "elapsed_time": "0:09:35", "remaining_time": "0:22:22"}
|
| 33 |
+
{"current_steps": 30, "total_steps": 100, "eval_loss": 0.6948859691619873, "epoch": 1.0352422907488987, "percentage": 30.0, "elapsed_time": "0:10:00", "remaining_time": "0:23:21"}
|
| 34 |
+
{"current_steps": 31, "total_steps": 100, "loss": 0.7228, "lr": 0.0001923879532511287, "epoch": 1.0704845814977975, "percentage": 31.0, "elapsed_time": "0:10:19", "remaining_time": "0:22:58"}
|
| 35 |
+
{"current_steps": 32, "total_steps": 100, "loss": 0.6692, "lr": 0.00019081431738250814, "epoch": 1.105726872246696, "percentage": 32.0, "elapsed_time": "0:10:36", "remaining_time": "0:22:33"}
|
| 36 |
+
{"current_steps": 33, "total_steps": 100, "loss": 0.6742, "lr": 0.0001891006524188368, "epoch": 1.1409691629955947, "percentage": 33.0, "elapsed_time": "0:10:52", "remaining_time": "0:22:05"}
|
| 37 |
+
{"current_steps": 34, "total_steps": 100, "loss": 0.7012, "lr": 0.00018724960070727972, "epoch": 1.1762114537444934, "percentage": 34.0, "elapsed_time": "0:11:07", "remaining_time": "0:21:36"}
|
| 38 |
+
{"current_steps": 35, "total_steps": 100, "loss": 0.6594, "lr": 0.00018526401643540922, "epoch": 1.2114537444933922, "percentage": 35.0, "elapsed_time": "0:11:25", "remaining_time": "0:21:13"}
|
| 39 |
+
{"current_steps": 36, "total_steps": 100, "loss": 0.6723, "lr": 0.00018314696123025454, "epoch": 1.2466960352422907, "percentage": 36.0, "elapsed_time": "0:11:41", "remaining_time": "0:20:46"}
|
| 40 |
+
{"current_steps": 37, "total_steps": 100, "loss": 0.6514, "lr": 0.00018090169943749476, "epoch": 1.2819383259911894, "percentage": 37.0, "elapsed_time": "0:11:57", "remaining_time": "0:20:21"}
|
| 41 |
+
{"current_steps": 38, "total_steps": 100, "loss": 0.6585, "lr": 0.00017853169308807448, "epoch": 1.3171806167400881, "percentage": 38.0, "elapsed_time": "0:12:21", "remaining_time": "0:20:09"}
|
| 42 |
+
{"current_steps": 39, "total_steps": 100, "loss": 0.6339, "lr": 0.0001760405965600031, "epoch": 1.3524229074889869, "percentage": 39.0, "elapsed_time": "0:12:37", "remaining_time": "0:19:44"}
|
| 43 |
+
{"current_steps": 40, "total_steps": 100, "loss": 0.655, "lr": 0.00017343225094356855, "epoch": 1.3876651982378854, "percentage": 40.0, "elapsed_time": "0:12:52", "remaining_time": "0:19:18"}
|
| 44 |
+
{"current_steps": 40, "total_steps": 100, "eval_loss": 0.6199031472206116, "epoch": 1.3876651982378854, "percentage": 40.0, "elapsed_time": "0:13:17", "remaining_time": "0:19:56"}
|
| 45 |
+
{"current_steps": 41, "total_steps": 100, "loss": 0.6334, "lr": 0.00017071067811865476, "epoch": 1.422907488986784, "percentage": 41.0, "elapsed_time": "0:13:37", "remaining_time": "0:19:35"}
|
| 46 |
+
{"current_steps": 42, "total_steps": 100, "loss": 0.644, "lr": 0.0001678800745532942, "epoch": 1.4581497797356828, "percentage": 42.0, "elapsed_time": "0:13:52", "remaining_time": "0:19:09"}
|
| 47 |
+
{"current_steps": 43, "total_steps": 100, "loss": 0.5925, "lr": 0.00016494480483301836, "epoch": 1.4933920704845816, "percentage": 43.0, "elapsed_time": "0:14:05", "remaining_time": "0:18:41"}
|
| 48 |
+
{"current_steps": 44, "total_steps": 100, "loss": 0.6486, "lr": 0.00016190939493098344, "epoch": 1.5286343612334803, "percentage": 44.0, "elapsed_time": "0:14:22", "remaining_time": "0:18:17"}
|
| 49 |
+
{"current_steps": 45, "total_steps": 100, "loss": 0.6039, "lr": 0.00015877852522924732, "epoch": 1.5638766519823788, "percentage": 45.0, "elapsed_time": "0:14:38", "remaining_time": "0:17:53"}
|
| 50 |
+
{"current_steps": 46, "total_steps": 100, "loss": 0.6244, "lr": 0.00015555702330196023, "epoch": 1.5991189427312775, "percentage": 46.0, "elapsed_time": "0:15:02", "remaining_time": "0:17:39"}
|
| 51 |
+
{"current_steps": 47, "total_steps": 100, "loss": 0.5672, "lr": 0.0001522498564715949, "epoch": 1.6343612334801763, "percentage": 47.0, "elapsed_time": "0:15:18", "remaining_time": "0:17:15"}
|
| 52 |
+
{"current_steps": 48, "total_steps": 100, "loss": 0.6356, "lr": 0.00014886212414969553, "epoch": 1.6696035242290748, "percentage": 48.0, "elapsed_time": "0:15:36", "remaining_time": "0:16:54"}
|
| 53 |
+
{"current_steps": 49, "total_steps": 100, "loss": 0.6105, "lr": 0.00014539904997395468, "epoch": 1.7048458149779737, "percentage": 49.0, "elapsed_time": "0:15:56", "remaining_time": "0:16:35"}
|
| 54 |
+
{"current_steps": 50, "total_steps": 100, "loss": 0.6023, "lr": 0.0001418659737537428, "epoch": 1.7400881057268722, "percentage": 50.0, "elapsed_time": "0:16:18", "remaining_time": "0:16:18"}
|
| 55 |
+
{"current_steps": 50, "total_steps": 100, "eval_loss": 0.5753047466278076, "epoch": 1.7400881057268722, "percentage": 50.0, "elapsed_time": "0:16:43", "remaining_time": "0:16:43"}
|
| 56 |
+
{"current_steps": 51, "total_steps": 100, "loss": 0.6216, "lr": 0.000138268343236509, "epoch": 1.775330396475771, "percentage": 51.0, "elapsed_time": "0:17:03", "remaining_time": "0:16:23"}
|
| 57 |
+
{"current_steps": 52, "total_steps": 100, "loss": 0.6124, "lr": 0.0001346117057077493, "epoch": 1.8105726872246697, "percentage": 52.0, "elapsed_time": "0:17:19", "remaining_time": "0:15:59"}
|
| 58 |
+
{"current_steps": 53, "total_steps": 100, "loss": 0.5445, "lr": 0.00013090169943749476, "epoch": 1.8458149779735682, "percentage": 53.0, "elapsed_time": "0:17:39", "remaining_time": "0:15:39"}
|
| 59 |
+
{"current_steps": 54, "total_steps": 100, "loss": 0.5508, "lr": 0.00012714404498650743, "epoch": 1.881057268722467, "percentage": 54.0, "elapsed_time": "0:17:55", "remaining_time": "0:15:16"}
|
| 60 |
+
{"current_steps": 55, "total_steps": 100, "loss": 0.5522, "lr": 0.00012334453638559057, "epoch": 1.9162995594713657, "percentage": 55.0, "elapsed_time": "0:18:13", "remaining_time": "0:14:54"}
|
| 61 |
+
{"current_steps": 56, "total_steps": 100, "loss": 0.5569, "lr": 0.00011950903220161285, "epoch": 1.9515418502202642, "percentage": 56.0, "elapsed_time": "0:18:29", "remaining_time": "0:14:31"}
|
| 62 |
+
{"current_steps": 57, "total_steps": 100, "loss": 0.5307, "lr": 0.0001156434465040231, "epoch": 1.9867841409691631, "percentage": 57.0, "elapsed_time": "0:18:51", "remaining_time": "0:14:13"}
|
| 63 |
+
{"current_steps": 58, "total_steps": 100, "loss": 0.6131, "lr": 0.00011175373974578378, "epoch": 2.0, "percentage": 58.0, "elapsed_time": "0:18:58", "remaining_time": "0:13:44"}
|
| 64 |
+
{"current_steps": 59, "total_steps": 100, "loss": 0.4965, "lr": 0.0001078459095727845, "epoch": 2.0352422907488985, "percentage": 59.0, "elapsed_time": "0:19:14", "remaining_time": "0:13:22"}
|
| 65 |
+
{"current_steps": 60, "total_steps": 100, "loss": 0.5086, "lr": 0.00010392598157590688, "epoch": 2.0704845814977975, "percentage": 60.0, "elapsed_time": "0:19:31", "remaining_time": "0:13:00"}
|
| 66 |
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{"current_steps": 60, "total_steps": 100, "eval_loss": 0.5449034571647644, "epoch": 2.0704845814977975, "percentage": 60.0, "elapsed_time": "0:19:56", "remaining_time": "0:13:17"}
|
| 67 |
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{"current_steps": 61, "total_steps": 100, "loss": 0.5208, "lr": 0.0001, "epoch": 2.105726872246696, "percentage": 61.0, "elapsed_time": "0:20:13", "remaining_time": "0:12:55"}
|
| 68 |
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{"current_steps": 62, "total_steps": 100, "loss": 0.5298, "lr": 9.607401842409317e-05, "epoch": 2.140969162995595, "percentage": 62.0, "elapsed_time": "0:20:33", "remaining_time": "0:12:36"}
|
| 69 |
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{"current_steps": 63, "total_steps": 100, "loss": 0.5025, "lr": 9.215409042721552e-05, "epoch": 2.1762114537444934, "percentage": 63.0, "elapsed_time": "0:20:53", "remaining_time": "0:12:16"}
|
| 70 |
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|
| 71 |
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{"current_steps": 65, "total_steps": 100, "loss": 0.5118, "lr": 8.435655349597689e-05, "epoch": 2.246696035242291, "percentage": 65.0, "elapsed_time": "0:21:26", "remaining_time": "0:11:32"}
|
| 72 |
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|
| 73 |
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{"current_steps": 67, "total_steps": 100, "loss": 0.5396, "lr": 7.66554636144095e-05, "epoch": 2.317180616740088, "percentage": 67.0, "elapsed_time": "0:22:03", "remaining_time": "0:10:52"}
|
| 74 |
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|
| 75 |
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{"current_steps": 69, "total_steps": 100, "loss": 0.5233, "lr": 6.909830056250527e-05, "epoch": 2.3876651982378854, "percentage": 69.0, "elapsed_time": "0:22:41", "remaining_time": "0:10:11"}
|
| 76 |
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|
| 77 |
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{"current_steps": 70, "total_steps": 100, "eval_loss": 0.5274443030357361, "epoch": 2.4229074889867843, "percentage": 70.0, "elapsed_time": "0:23:23", "remaining_time": "0:10:01"}
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| 78 |
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|
| 79 |
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|
| 80 |
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| 94 |
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|
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|
| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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{"current_steps": 91, "total_steps": 100, "loss": 0.4861, "lr": 7.612046748871327e-06, "epoch": 3.140969162995595, "percentage": 91.0, "elapsed_time": "0:30:40", "remaining_time": "0:03:02"}
|
| 101 |
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{"current_steps": 92, "total_steps": 100, "loss": 0.4881, "lr": 6.180866407751595e-06, "epoch": 3.1762114537444934, "percentage": 92.0, "elapsed_time": "0:30:58", "remaining_time": "0:02:41"}
|
| 102 |
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{"current_steps": 93, "total_steps": 100, "loss": 0.4524, "lr": 4.8943483704846475e-06, "epoch": 3.211453744493392, "percentage": 93.0, "elapsed_time": "0:31:14", "remaining_time": "0:02:21"}
|
| 103 |
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{"current_steps": 94, "total_steps": 100, "loss": 0.4678, "lr": 3.7544763546352834e-06, "epoch": 3.246696035242291, "percentage": 94.0, "elapsed_time": "0:31:31", "remaining_time": "0:02:00"}
|
| 104 |
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{"current_steps": 95, "total_steps": 100, "loss": 0.5017, "lr": 2.7630079602323442e-06, "epoch": 3.2819383259911894, "percentage": 95.0, "elapsed_time": "0:31:47", "remaining_time": "0:01:40"}
|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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{"current_steps": 99, "total_steps": 100, "loss": 0.4577, "lr": 3.0826662668720364e-07, "epoch": 3.4229074889867843, "percentage": 99.0, "elapsed_time": "0:32:54", "remaining_time": "0:00:19"}
|
| 109 |
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{"current_steps": 100, "total_steps": 100, "loss": 0.4505, "lr": 7.709637592770991e-08, "epoch": 3.458149779735683, "percentage": 100.0, "elapsed_time": "0:33:15", "remaining_time": "0:00:00"}
|
| 110 |
+
{"current_steps": 100, "total_steps": 100, "eval_loss": 0.5112941265106201, "epoch": 3.458149779735683, "percentage": 100.0, "elapsed_time": "0:33:41", "remaining_time": "0:00:00"}
|
TextUI-Cap-7B/trainer_state.json
ADDED
|
@@ -0,0 +1,814 @@
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TextUI-Cap-7B/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 6161
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TextUI-Cap-7B/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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TextUI-Func-7B/README.md
ADDED
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@@ -0,0 +1,76 @@
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| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
license: other
|
| 4 |
+
base_model: /root/autodl-fs/Qwen2.5-7B-Instruct
|
| 5 |
+
tags:
|
| 6 |
+
- llama-factory
|
| 7 |
+
- lora
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: stage1_cap_func
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# stage1_cap_func
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [/root/autodl-fs/Qwen2.5-7B-Instruct](https://huggingface.co//root/autodl-fs/Qwen2.5-7B-Instruct) on the textui-caption2k and the textui-function6k datasets.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.4610
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 3
|
| 42 |
+
- eval_batch_size: 4
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 4
|
| 46 |
+
- gradient_accumulation_steps: 8
|
| 47 |
+
- total_train_batch_size: 96
|
| 48 |
+
- total_eval_batch_size: 16
|
| 49 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 50 |
+
- lr_scheduler_type: cosine
|
| 51 |
+
- lr_scheduler_warmup_steps: 25
|
| 52 |
+
- training_steps: 250
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 58 |
+
| 0.6383 | 0.2436 | 25 | 0.6979 |
|
| 59 |
+
| 0.5722 | 0.4872 | 50 | 0.6059 |
|
| 60 |
+
| 0.5268 | 0.7308 | 75 | 0.5485 |
|
| 61 |
+
| 0.492 | 0.9744 | 100 | 0.5159 |
|
| 62 |
+
| 0.4719 | 1.2241 | 125 | 0.4990 |
|
| 63 |
+
| 0.4031 | 1.4677 | 150 | 0.4809 |
|
| 64 |
+
| 0.3825 | 1.7113 | 175 | 0.4702 |
|
| 65 |
+
| 0.3944 | 1.9549 | 200 | 0.4625 |
|
| 66 |
+
| 0.3411 | 2.2046 | 225 | 0.4616 |
|
| 67 |
+
| 0.3588 | 2.4482 | 250 | 0.4610 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- PEFT 0.15.1
|
| 73 |
+
- Transformers 4.51.3
|
| 74 |
+
- Pytorch 2.7.0+cu126
|
| 75 |
+
- Datasets 3.5.0
|
| 76 |
+
- Tokenizers 0.21.1
|
TextUI-Func-7B/adapter_config.json
ADDED
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@@ -0,0 +1,39 @@
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|
| 17 |
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|
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|
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
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|
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|
| 39 |
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TextUI-Func-7B/adapter_model.safetensors
ADDED
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| 3 |
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size 161533192
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TextUI-Func-7B/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 10 |
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|
| 11 |
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| 12 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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|
| 23 |
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|
| 24 |
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|
TextUI-Func-7B/all_results.json
ADDED
|
@@ -0,0 +1,12 @@
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|
| 8 |
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|
| 11 |
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|
| 12 |
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|
TextUI-Func-7B/eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
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|
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|
| 7 |
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|
TextUI-Func-7B/merges.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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|
|
TextUI-Func-7B/runs/events.out.tfevents.1749786583.autodl-container-40b74f9912-ad7efc16.23496.0
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TextUI-Func-7B/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
TextUI-Func-7B/tokenizer.json
ADDED
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@@ -0,0 +1,3 @@
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size 11421896
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TextUI-Func-7B/tokenizer_config.json
ADDED
|
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| 1 |
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{
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|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 10 |
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| 11 |
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|
| 12 |
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| 27 |
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| 28 |
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|
| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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| 43 |
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|
| 44 |
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| 45 |
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| 49 |
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| 59 |
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|
| 60 |
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| 63 |
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| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 75 |
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|
| 76 |
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| 77 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 89 |
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| 90 |
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| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 100 |
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| 101 |
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| 116 |
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|
| 124 |
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|
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"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 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"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\") %}\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{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"padding_side": "right",
|
| 206 |
+
"split_special_tokens": false,
|
| 207 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 208 |
+
"unk_token": null
|
| 209 |
+
}
|
TextUI-Func-7B/train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.4482338611449452,
|
| 3 |
+
"total_flos": 2.3792355349217935e+18,
|
| 4 |
+
"train_loss": 0.49713707935810086,
|
| 5 |
+
"train_runtime": 9531.3935,
|
| 6 |
+
"train_samples_per_second": 2.518,
|
| 7 |
+
"train_steps_per_second": 0.026
|
| 8 |
+
}
|
TextUI-Func-7B/trainer_log.jsonl
ADDED
|
@@ -0,0 +1,261 @@
|
|
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|
|
|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 1, "total_steps": 250, "loss": 0.9971, "lr": 0.0, "epoch": 0.0097442143727162, "percentage": 0.4, "elapsed_time": "0:00:43", "remaining_time": "3:01:51"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 250, "loss": 0.8357, "lr": 4.000000000000001e-06, "epoch": 0.0194884287454324, "percentage": 0.8, "elapsed_time": "0:01:15", "remaining_time": "2:35:36"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 250, "loss": 1.0968, "lr": 8.000000000000001e-06, "epoch": 0.029232643118148598, "percentage": 1.2, "elapsed_time": "0:01:54", "remaining_time": "2:36:38"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 250, "loss": 0.9436, "lr": 1.2e-05, "epoch": 0.0389768574908648, "percentage": 1.6, "elapsed_time": "0:02:19", "remaining_time": "2:22:57"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 250, "loss": 0.8405, "lr": 1.6000000000000003e-05, "epoch": 0.048721071863580996, "percentage": 2.0, "elapsed_time": "0:02:51", "remaining_time": "2:19:45"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 250, "loss": 0.8719, "lr": 2e-05, "epoch": 0.058465286236297195, "percentage": 2.4, "elapsed_time": "0:03:26", "remaining_time": "2:19:55"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 250, "loss": 0.7487, "lr": 2.4e-05, "epoch": 0.0682095006090134, "percentage": 2.8, "elapsed_time": "0:04:00", "remaining_time": "2:19:08"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 250, "loss": 0.8104, "lr": 2.8000000000000003e-05, "epoch": 0.0779537149817296, "percentage": 3.2, "elapsed_time": "0:04:33", "remaining_time": "2:17:50"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 250, "loss": 0.7356, "lr": 3.2000000000000005e-05, "epoch": 0.0876979293544458, "percentage": 3.6, "elapsed_time": "0:05:02", "remaining_time": "2:14:54"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 250, "loss": 0.7642, "lr": 3.6e-05, "epoch": 0.09744214372716199, "percentage": 4.0, "elapsed_time": "0:05:31", "remaining_time": "2:12:41"}
|
| 11 |
+
{"current_steps": 11, "total_steps": 250, "loss": 0.734, "lr": 4e-05, "epoch": 0.1071863580998782, "percentage": 4.4, "elapsed_time": "0:06:08", "remaining_time": "2:13:36"}
|
| 12 |
+
{"current_steps": 12, "total_steps": 250, "loss": 0.7155, "lr": 4.4000000000000006e-05, "epoch": 0.11693057247259439, "percentage": 4.8, "elapsed_time": "0:06:50", "remaining_time": "2:15:45"}
|
| 13 |
+
{"current_steps": 13, "total_steps": 250, "loss": 0.7207, "lr": 4.8e-05, "epoch": 0.12667478684531058, "percentage": 5.2, "elapsed_time": "0:07:23", "remaining_time": "2:14:54"}
|
| 14 |
+
{"current_steps": 14, "total_steps": 250, "loss": 0.7882, "lr": 5.2000000000000004e-05, "epoch": 0.1364190012180268, "percentage": 5.6, "elapsed_time": "0:07:53", "remaining_time": "2:13:09"}
|
| 15 |
+
{"current_steps": 15, "total_steps": 250, "loss": 0.7188, "lr": 5.6000000000000006e-05, "epoch": 0.146163215590743, "percentage": 6.0, "elapsed_time": "0:08:28", "remaining_time": "2:12:53"}
|
| 16 |
+
{"current_steps": 16, "total_steps": 250, "loss": 0.7002, "lr": 6e-05, "epoch": 0.1559074299634592, "percentage": 6.4, "elapsed_time": "0:09:00", "remaining_time": "2:11:48"}
|
| 17 |
+
{"current_steps": 17, "total_steps": 250, "loss": 0.7174, "lr": 6.400000000000001e-05, "epoch": 0.1656516443361754, "percentage": 6.8, "elapsed_time": "0:09:37", "remaining_time": "2:11:49"}
|
| 18 |
+
{"current_steps": 18, "total_steps": 250, "loss": 0.7085, "lr": 6.800000000000001e-05, "epoch": 0.1753958587088916, "percentage": 7.2, "elapsed_time": "0:10:09", "remaining_time": "2:10:50"}
|
| 19 |
+
{"current_steps": 19, "total_steps": 250, "loss": 0.788, "lr": 7.2e-05, "epoch": 0.1851400730816078, "percentage": 7.6, "elapsed_time": "0:10:46", "remaining_time": "2:11:00"}
|
| 20 |
+
{"current_steps": 20, "total_steps": 250, "loss": 0.6491, "lr": 7.6e-05, "epoch": 0.19488428745432398, "percentage": 8.0, "elapsed_time": "0:11:22", "remaining_time": "2:10:44"}
|
| 21 |
+
{"current_steps": 21, "total_steps": 250, "loss": 0.6749, "lr": 8e-05, "epoch": 0.2046285018270402, "percentage": 8.4, "elapsed_time": "0:11:52", "remaining_time": "2:09:26"}
|
| 22 |
+
{"current_steps": 22, "total_steps": 250, "loss": 0.6431, "lr": 8.4e-05, "epoch": 0.2143727161997564, "percentage": 8.8, "elapsed_time": "0:12:30", "remaining_time": "2:09:40"}
|
| 23 |
+
{"current_steps": 23, "total_steps": 250, "loss": 0.6089, "lr": 8.800000000000001e-05, "epoch": 0.2241169305724726, "percentage": 9.2, "elapsed_time": "0:12:59", "remaining_time": "2:08:12"}
|
| 24 |
+
{"current_steps": 24, "total_steps": 250, "loss": 0.605, "lr": 9.200000000000001e-05, "epoch": 0.23386114494518878, "percentage": 9.6, "elapsed_time": "0:13:34", "remaining_time": "2:07:46"}
|
| 25 |
+
{"current_steps": 25, "total_steps": 250, "loss": 0.6383, "lr": 9.6e-05, "epoch": 0.243605359317905, "percentage": 10.0, "elapsed_time": "0:14:05", "remaining_time": "2:06:49"}
|
| 26 |
+
{"current_steps": 25, "total_steps": 250, "eval_loss": 0.6978875398635864, "epoch": 0.243605359317905, "percentage": 10.0, "elapsed_time": "0:16:01", "remaining_time": "2:24:16"}
|
| 27 |
+
{"current_steps": 26, "total_steps": 250, "loss": 0.6573, "lr": 0.0001, "epoch": 0.25334957369062117, "percentage": 10.4, "elapsed_time": "0:16:32", "remaining_time": "2:22:32"}
|
| 28 |
+
{"current_steps": 27, "total_steps": 250, "loss": 0.6503, "lr": 9.999512620046522e-05, "epoch": 0.2630937880633374, "percentage": 10.8, "elapsed_time": "0:17:07", "remaining_time": "2:21:26"}
|
| 29 |
+
{"current_steps": 28, "total_steps": 250, "loss": 0.6056, "lr": 9.998050575201771e-05, "epoch": 0.2728380024360536, "percentage": 11.2, "elapsed_time": "0:17:50", "remaining_time": "2:21:26"}
|
| 30 |
+
{"current_steps": 29, "total_steps": 250, "loss": 0.6291, "lr": 9.995614150494293e-05, "epoch": 0.28258221680876977, "percentage": 11.6, "elapsed_time": "0:18:40", "remaining_time": "2:22:20"}
|
| 31 |
+
{"current_steps": 30, "total_steps": 250, "loss": 0.5929, "lr": 9.992203820909906e-05, "epoch": 0.292326431181486, "percentage": 12.0, "elapsed_time": "0:19:13", "remaining_time": "2:21:02"}
|
| 32 |
+
{"current_steps": 31, "total_steps": 250, "loss": 0.6166, "lr": 9.987820251299122e-05, "epoch": 0.3020706455542022, "percentage": 12.4, "elapsed_time": "0:19:46", "remaining_time": "2:19:39"}
|
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|
TextUI-Func-7B/trainer_state.json
ADDED
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| 1 |
+
---
|
| 2 |
+
base_model: /root/autodl-fs/Qwen2.5-7B-Instruct
|
| 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 0.15.1
|
TextUI-Trans-7B/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/root/autodl-fs/Qwen2.5-7B-Instruct",
|
| 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": 0.0,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 16,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": [
|
| 27 |
+
"down_proj",
|
| 28 |
+
"up_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
+
"q_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": "CAUSAL_LM",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
TextUI-Trans-7B/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:142327ece53e49d1a23f29308e93a0b5ab9c5c3f4e374ab7c941ce6c2640287d
|
| 3 |
+
size 161533192
|
TextUI-Trans-7B/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
TextUI-Trans-7B/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
TextUI-Trans-7B/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
TextUI-Trans-7B/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
TextUI-Trans-7B/tokenizer_config.json
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"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\") %}\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{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"padding_side": "right",
|
| 206 |
+
"split_special_tokens": false,
|
| 207 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 208 |
+
"unk_token": null
|
| 209 |
+
}
|
TextUI-Trans-7B/trainer_log.jsonl
ADDED
|
@@ -0,0 +1,169 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
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|
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| 167 |
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{"current_steps": 161, "total_steps": 300, "loss": 0.7394, "lr": 5.290724144552379e-05, "epoch": 1.367129135538954, "percentage": 53.67, "elapsed_time": "1:37:01", "remaining_time": "1:23:45"}
|
| 168 |
+
{"current_steps": 162, "total_steps": 300, "loss": 0.8742, "lr": 5.232626560988735e-05, "epoch": 1.3756670224119532, "percentage": 54.0, "elapsed_time": "1:37:39", "remaining_time": "1:23:11"}
|
| 169 |
+
{"current_steps": 163, "total_steps": 300, "loss": 0.8229, "lr": 5.174497483512506e-05, "epoch": 1.384204909284952, "percentage": 54.33, "elapsed_time": "1:38:17", "remaining_time": "1:22:36"}
|
TextUI-Trans-7B/trainer_state.json
ADDED
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@@ -0,0 +1,1132 @@
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