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--- |
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license: other |
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base_model: facebook/opt-350m |
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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: reward_modeling_anthropic_hh_rm1e-4 |
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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_modeling_anthropic_hh_rm1e-4 |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6931 |
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- Accuracy: 0.7339 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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| 0.7053 | 0.1087 | 500 | 0.6931 | 0.6148 | |
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| 0.6926 | 0.2174 | 1000 | 0.6931 | 0.6260 | |
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| 0.6912 | 0.3262 | 1500 | 0.6931 | 0.6737 | |
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| 0.6923 | 0.4349 | 2000 | 0.6931 | 0.6653 | |
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| 0.6946 | 0.5436 | 2500 | 0.6931 | 0.6698 | |
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| 0.6888 | 0.6523 | 3000 | 0.6931 | 0.6973 | |
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| 0.6963 | 0.7610 | 3500 | 0.6931 | 0.7138 | |
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| 0.689 | 0.8698 | 4000 | 0.6931 | 0.7124 | |
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| 0.6942 | 0.9785 | 4500 | 0.6931 | 0.7339 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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