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Training in progress epoch 0

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  1. README.md +7 -11
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 4.6635
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- - Train Accuracy: 0.0580
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- - Validation Loss: 4.5498
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- - Validation Accuracy: 0.0613
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- - Epoch: 4
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 5, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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: float32
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  ### Training results
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 4.6616 | 0.0580 | 4.5498 | 0.0613 | 0 |
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- | 4.6629 | 0.0579 | 4.5498 | 0.0613 | 1 |
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- | 4.6650 | 0.0581 | 4.5498 | 0.0613 | 2 |
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- | 4.6646 | 0.0582 | 4.5498 | 0.0613 | 3 |
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- | 4.6635 | 0.0580 | 4.5498 | 0.0613 | 4 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 4.5704
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+ - Train Accuracy: 0.0591
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+ - Validation Loss: 4.3657
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+ - Validation Accuracy: 0.0616
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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: float32
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  ### Training results
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 4.5704 | 0.0591 | 4.3657 | 0.0616 | 0 |
 
 
 
 
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  ### Framework versions
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