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--- |
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license: mit |
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base_model: openai-community/gpt2-large |
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tags: |
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- trl |
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- reward-trainer |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: RM-HH-AllMixNonPeft_harmless_gpt3_20000_gpt2-large_shuffleTrue_extractchosenFalse |
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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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# RM-HH-AllMixNonPeft_harmless_gpt3_20000_gpt2-large_shuffleTrue_extractchosenFalse |
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This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4375 |
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- Accuracy: 0.7687 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 1.0 |
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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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| 0.4911 | 0.17 | 250 | 0.4763 | 0.7431 | |
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| 0.4441 | 0.33 | 500 | 0.4547 | 0.7495 | |
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| 0.4323 | 0.5 | 750 | 0.4632 | 0.7601 | |
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| 0.4393 | 0.67 | 1000 | 0.4517 | 0.7604 | |
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| 0.4311 | 0.84 | 1250 | 0.4375 | 0.7687 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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