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Training in progress epoch 0

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  1. README.md +4 -18
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0310
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  - Validation Loss: 0.0
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- - Epoch: 14
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  ## Model description
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@@ -34,28 +34,14 @@ 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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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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- | 0.2033 | 0.0 | 0 |
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- | 0.1906 | 0.0 | 1 |
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- | 0.1407 | 0.0 | 2 |
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- | 0.1096 | 0.0 | 3 |
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- | 0.0862 | 0.0 | 4 |
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- | 0.0765 | 0.0 | 5 |
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- | 0.0632 | 0.0 | 6 |
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- | 0.0478 | 0.0 | 7 |
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- | 0.0623 | 0.0 | 8 |
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- | 0.0441 | 0.0 | 9 |
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- | 0.0369 | 0.0 | 10 |
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- | 0.0448 | 0.0 | 11 |
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- | 0.0353 | 0.0 | 12 |
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- | 0.0347 | 0.0 | 13 |
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- | 0.0310 | 0.0 | 14 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0534
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  - Validation Loss: 0.0
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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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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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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+ | 0.0534 | 0.0 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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