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Training in progress epoch 0

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  1. README.md +5 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.6268
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- - Validation Loss: 1.6020
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- - Epoch: 2
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  ## Model description
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@@ -36,16 +36,14 @@ More information needed
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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': 0.0002, '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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- | 2.9304 | 2.1183 | 0 |
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- | 1.9495 | 1.7240 | 1 |
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- | 1.6268 | 1.6020 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 9.3368
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+ - Validation Loss: 5.6757
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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': 0.02, '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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+ | 9.3368 | 5.6757 | 0 |
 
 
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  ### Framework versions
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