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--- |
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license: gemma |
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library_name: peft |
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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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base_model: google/gemma-2b |
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metrics: |
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- accuracy |
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model-index: |
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- name: RM-HH-AllMix_helpful_gpt3_20000_gemma2b_shuffleFalse_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-AllMix_helpful_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0839 |
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- Accuracy: 0.9876 |
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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: 2.0 |
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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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| 0.7074 | 0.17 | 250 | 0.3710 | 0.8750 | |
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| 0.6147 | 0.33 | 500 | 0.1958 | 0.9673 | |
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| 0.5749 | 0.5 | 750 | 0.1424 | 0.9763 | |
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| 0.5776 | 0.67 | 1000 | 0.1249 | 0.9827 | |
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| 0.5601 | 0.84 | 1250 | 0.1087 | 0.9868 | |
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| 0.5549 | 1.0 | 1500 | 0.0982 | 0.9887 | |
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| 0.5465 | 1.17 | 1750 | 0.0941 | 0.9876 | |
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| 0.5494 | 1.34 | 2000 | 0.0887 | 0.9872 | |
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| 0.54 | 1.51 | 2250 | 0.0858 | 0.9895 | |
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| 0.5375 | 1.67 | 2500 | 0.0848 | 0.9891 | |
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| 0.5266 | 1.84 | 2750 | 0.0839 | 0.9876 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
