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End of training

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README.md ADDED
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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
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+ results: []
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+ ---
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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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+
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+ # reward_modeling_anthropic_hh
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+
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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: 0.5931
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+ - Accuracy: 0.6723
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.6502 | 0.1087 | 500 | 0.6495 | 0.6120 |
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+ | 0.6042 | 0.2174 | 1000 | 0.6465 | 0.6373 |
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+ | 0.6325 | 0.3262 | 1500 | 0.6252 | 0.6438 |
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+ | 0.6129 | 0.4349 | 2000 | 0.6130 | 0.6546 |
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+ | 0.6244 | 0.5436 | 2500 | 0.6117 | 0.6607 |
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+ | 0.6359 | 0.6523 | 3000 | 0.6028 | 0.6686 |
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+ | 0.629 | 0.7610 | 3500 | 0.6015 | 0.6645 |
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+ | 0.6253 | 0.8698 | 4000 | 0.5956 | 0.6712 |
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+ | 0.5928 | 0.9785 | 4500 | 0.5931 | 0.6723 |
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+
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+
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+ ### Framework versions
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+
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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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