Training in progress epoch 0
Browse files- README.md +4 -4
- logs/train/events.out.tfevents.1676633135.a8a333d8957a.231.0.v2 +2 -2
- logs/train/events.out.tfevents.1676633929.a8a333d8957a.231.2.v2 +3 -0
- logs/validation/events.out.tfevents.1676633166.a8a333d8957a.231.1.v2 +2 -2
- logs/validation/events.out.tfevents.1676633951.a8a333d8957a.231.3.v2 +3 -0
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss:
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- Epoch: 0
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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':
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- training_precision: float32
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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 [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 11.4991
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- Validation Loss: 6.9902
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- Epoch: 0
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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': 0.2, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 11.4991 | 6.9902 | 0 |
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### Framework versions
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logs/train/events.out.tfevents.1676633135.a8a333d8957a.231.0.v2
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