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- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 9.
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- Validation Loss: 8.
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- Epoch: 2
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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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- optimizer: {'
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Epoch |
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### Framework versions
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 9.1610
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- Validation Loss: 8.9702
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- Epoch: 2
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -985, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 9.6117 | 9.5362 | 0 |
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| 9.4478 | 9.2722 | 1 |
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| 9.1610 | 8.9702 | 2 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 385107024
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bece7985fb903896dca0a1aa5e8b50420716d602e227e6a0a6145d01370e403
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size 385107024
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