| | ---
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| | library_name: transformers
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| | license: mit
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| | base_model: openai-community/gpt2
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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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| | datasets:
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| | - piqa
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| | model-index:
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| | - name: HW2-supervised
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # HW2-supervised
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| |
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| | This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the piqa dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 3.0381
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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: 2e-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: 4
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| | - total_train_batch_size: 64
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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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| | - lr_scheduler_warmup_steps: 500
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| | - num_epochs: 3
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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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| | | 3.1038 | 2.2051 | 500 | 3.0381 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.44.2
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| | - Pytorch 2.4.0+cu118
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| | - Datasets 2.21.0
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| | - Tokenizers 0.19.1
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| |
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