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Model: lqtrung1998/galactica-6.7b-SFT-warmup-GSM8k Source: Original Platform
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README.md
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---
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license: cc-by-nc-4.0
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---
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# ReFT: Reasoning with REinforced Fine-Tuning
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Paper: https://arxiv.org/pdf/2401.08967.pdf
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Repo: https://github.com/lqtrung1998/mwp_ReFT (under [Apache2.0 License](https://github.com/lqtrung1998/mwp_ReFT/blob/main/License.txt))
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## Introduction
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We introduce REinforced Fine-tuning (ReFT), a method that enhances the generalizability of learning LLMs for reasoning.
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This repository contains:
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- A Warmup Supervised Fine-tuned model on GSM8k benchmark: [lqtrung1998/galactica-6.7b-SFT-warmup-GSM8k](https://huggingface.co/lqtrung1998/galactica-6.7b-SFT-warmup-GSM8k)
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- A Supervised Fine-tuned model on GSM8k benchmark: [lqtrung1998/galactica-6.7b-SFT-GSM8k](https://huggingface.co/lqtrung1998/galactica-6.7b-SFT-GSM8k)
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- A Rerank model that can score the fine-tuned SFT model output: [lqtrung1998/galactica-6.7b-SFT-Rerank-GSM8k](https://huggingface.co/lqtrung1998/galactica-6.7b-SFT-Rerank-GSM8k)
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- A REinforced Fine-tuned model on GSM8k benchmark: [lqtrung1998/galactica-6.7b-ReFT-GSM8k](https://huggingface.co/lqtrung1998/galactica-6.7b-ReFT-GSM8k)
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- A Rerank model that can score the fine-tuned ReFT model output: [lqtrung1998/galactica-6.7b-ReFT-Rerank-GSM8k](https://huggingface.co/lqtrung1998/galactica-6.7b-ReFT-Rerank-GSM8k)
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Note: Our models are tuned based on Galactica, thus, licenses applicable to Galactica, such as non-commercial CC BY-NC 4.0 license also hold on these models.
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## Training Data
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The model is trained on GSM8k data with Python SDP CoT format, which can be found [here](https://github.com/lqtrung1998/mwp_ReFT)
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## Training Procedure
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Check out our paper and repo for complete details.
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#### ReFT model
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ReFT model is warm-up via Supervised Fine-tuning using GSM8k Python SDP training data for 2 epochs then it is REinforced Fine-tuned for 300 epochs using questions in GSM8k training set.
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#### Rerank model
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Rerank model is trained to classify if the output CoT is correct or not using sampling data of ReFT model after 2 epochs warm-up.
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## Evaluation Results
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See evaluations results of the models at table 4 of the research paper.
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Updated results:
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| | Top-1 | Voting@100 | Rerank@100 |
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|--------------------------------------------------------------------|:------:|:----------:|:----------:|
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| galactica-6.7b-SFT-warmup-GSM8k | 48.37 | - | - |
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| galactica-6.7b-SFT-GSM8k<br>(+galactica-6.7b-SFT-Rerank-GSM8k) | 58.83 | 62.9 | 73.4 |
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| galactica-6.7b-ReFT-GSM8k<br>(+galactica-6.7b-ReFT-Rerank-GSM8k) | 68.91 | 71.9 | 76.4 |
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## Usage
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You can use the models through Huggingface's Transformers library or follow scripts in our repo.
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Prompt format:
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```python
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Question:
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Weng earns $12 an hour for babysitting. Yesterday, she
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just did 50 minutes of babysitting. How much did she earn?
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Answer reasoning:
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```
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Expected response:
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```python
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def solution():
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"""Weng earns $12 an hour for babysitting. Yesterday, she just did
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50 minutes of babysitting. How much did she earn?"""
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hourly_rate = 12
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minutes_worked = 50
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hours_worked = minutes_worked / 60
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earnings = hourly_rate * hours_worked
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result = earnings
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return result
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```
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## Citation
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Please cite the paper if you use our data, model or code.
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```
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@misc{luong2024reft,
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title={ReFT: Reasoning with Reinforced Fine-Tuning},
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author={Trung Quoc Luong and Xinbo Zhang and Zhanming Jie and Peng Sun and Xiaoran Jin and Hang Li},
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year={2024},
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eprint={2401.08967},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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"model.decoder.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn.out_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn.out_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn.q_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn.v_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.6.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.fc1.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.fc1.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.fc2.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.fc2.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.final_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.final_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.k_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.out_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.out_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.q_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.v_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.7.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.fc1.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.fc1.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.fc2.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.fc2.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.final_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.final_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.k_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.out_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.out_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.q_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.v_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.8.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.fc1.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.fc1.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.fc2.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.fc2.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.final_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.final_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.k_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.out_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.out_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.q_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.v_proj.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"model.decoder.layers.9.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin"
|
||||
}
|
||||
}
|
||||
4
special_tokens_map.json
Normal file
4
special_tokens_map.json
Normal file
@@ -0,0 +1,4 @@
|
||||
{
|
||||
"eos_token": "</s>",
|
||||
"pad_token": "<pad>"
|
||||
}
|
||||
99997
tokenizer.json
Normal file
99997
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
193
tokenizer_config.json
Normal file
193
tokenizer_config.json
Normal file
@@ -0,0 +1,193 @@
|
||||
{
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"3": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"4": {
|
||||
"content": "[START_REF]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"5": {
|
||||
"content": "[END_REF]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"6": {
|
||||
"content": "[IMAGE]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"7": {
|
||||
"content": "<fragments>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"8": {
|
||||
"content": "</fragments>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"9": {
|
||||
"content": "<work>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"10": {
|
||||
"content": "</work>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"11": {
|
||||
"content": "[START_SUP]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"12": {
|
||||
"content": "[END_SUP]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"13": {
|
||||
"content": "[START_SUB]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"14": {
|
||||
"content": "[END_SUB]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"15": {
|
||||
"content": "[START_DNA]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"16": {
|
||||
"content": "[END_DNA]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"17": {
|
||||
"content": "[START_AMINO]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"18": {
|
||||
"content": "[END_AMINO]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"19": {
|
||||
"content": "[START_SMILES]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"20": {
|
||||
"content": "[END_SMILES]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"21": {
|
||||
"content": "[START_I_SMILES]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"22": {
|
||||
"content": "[END_I_SMILES]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "</s>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<pad>",
|
||||
"tokenizer_class": "PreTrainedTokenizerFast"
|
||||
}
|
||||
Reference in New Issue
Block a user