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README.md
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# GPT2-qa
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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## Model description
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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:
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- eval_batch_size:
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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: 3
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### Framework versions
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- Transformers 4.25.1
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# GPT2-qa
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2957
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## Model description
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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: 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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 4.1563 | 1.0 | 30926 | 4.6165 |
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| 3.7545 | 2.0 | 61852 | 3.9101 |
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| 3.3745 | 3.0 | 92778 | 4.2957 |
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### Framework versions
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- Transformers 4.25.1
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