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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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base_model: EleutherAI/gpt-j-6b |
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model-index: |
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- name: trl_rm_tldr_gptj |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# trl_rm_tldr_gptj |
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This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the TL;DR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6624 |
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- Accuracy: 0.6857 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1.41e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.5633 | 1.0 | 22660 | 0.6624 | 0.6857 | |
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### Framework versions |
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- PEFT 0.7.1.dev0 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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### BibTex Citation |
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If you would like to cite our paper when using the model, please use |
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``` |
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@article{sun2024supervised, |
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title={Supervised Fine-Tuning as Inverse Reinforcement Learning}, |
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author={Sun, Hao}, |
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journal={arXiv preprint arXiv:2403.12017}, |
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year={2024} |
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} |
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``` |
