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End of training

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README.md ADDED
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+ ---
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+ base_model: gpt2
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+ datasets:
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+ - generator
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+ library_name: peft
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+ license: mit
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: gpt2-fine-tuned-math
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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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+ # gpt2-fine-tuned-math
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8817
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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: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.2636 | 0.4836 | 500 | 2.0795 |
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+ | 2.1374 | 0.9671 | 1000 | 2.0028 |
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+ | 2.0829 | 1.4507 | 1500 | 1.9637 |
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+ | 2.0767 | 1.9342 | 2000 | 1.9346 |
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+ | 2.0464 | 2.4178 | 2500 | 1.9177 |
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+ | 1.9942 | 2.9014 | 3000 | 1.9040 |
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+ | 2.0482 | 3.3849 | 3500 | 1.8957 |
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+ | 1.9725 | 3.8685 | 4000 | 1.8888 |
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+ | 1.9919 | 4.3520 | 4500 | 1.8834 |
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+ | 1.9872 | 4.8356 | 5000 | 1.8817 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.0
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
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