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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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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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model-index: |
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- name: reward_model |
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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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# reward_model |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7183 |
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- Accuracy: 0.45 |
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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: 5e-05 |
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- train_batch_size: 32 |
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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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- training_steps: 500 |
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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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| No log | 0.01 | 50 | 0.6941 | 0.49 | |
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| No log | 0.02 | 100 | 0.7068 | 0.44 | |
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| No log | 0.03 | 150 | 0.6991 | 0.47 | |
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| No log | 0.04 | 200 | 0.6954 | 0.5 | |
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| No log | 0.05 | 250 | 0.6957 | 0.55 | |
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| No log | 0.06 | 300 | 0.6958 | 0.5 | |
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| No log | 0.07 | 350 | 0.7203 | 0.45 | |
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| No log | 0.08 | 400 | 0.7129 | 0.47 | |
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| No log | 0.09 | 450 | 0.7197 | 0.45 | |
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| 0.6877 | 0.1 | 500 | 0.7183 | 0.45 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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