End of training
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README.md
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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:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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| 6.
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| 1.7782 | 8.43 | 4500 | 6.7049 |
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| 1.5026 | 9.36 | 5000 | 6.8305 |
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### Framework versions
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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: 5.4593
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 6.5045 | 1.17 | 500 | 6.1462 |
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| 5.5972 | 2.35 | 1000 | 5.7812 |
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| 5.1108 | 3.52 | 1500 | 5.6020 |
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| 4.7389 | 4.69 | 2000 | 5.4971 |
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| 4.4098 | 5.87 | 2500 | 5.4530 |
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| 4.1016 | 7.04 | 3000 | 5.4385 |
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| 3.8119 | 8.22 | 3500 | 5.4539 |
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| 3.5917 | 9.39 | 4000 | 5.4593 |
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### Framework versions
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model.safetensors
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runs/Feb10_02-02-48_nlp-gpu-01.be.ucsc.edu/events.out.tfevents.1707559369.nlp-gpu-01.be.ucsc.edu.93660.0
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