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Training in progress epoch 0

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  1. README.md +7 -16
  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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.3644
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- - Train Accuracy: 0.9338
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- - Validation Loss: 1.0379
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- - Validation Accuracy: 0.7446
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- - Epoch: 9
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1160, 'end_learning_rate': 3e-08, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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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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- | 2.8014 | 0.2649 | 2.6062 | 0.3203 | 0 |
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- | 2.2623 | 0.3779 | 2.0848 | 0.4199 | 1 |
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- | 1.6972 | 0.5700 | 1.6515 | 0.5411 | 2 |
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- | 1.2381 | 0.7036 | 1.3295 | 0.6494 | 3 |
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- | 0.9510 | 0.7752 | 1.4154 | 0.6753 | 4 |
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- | 0.7616 | 0.8143 | 1.2083 | 0.7186 | 5 |
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- | 0.5738 | 0.8784 | 1.1157 | 0.7359 | 6 |
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- | 0.4715 | 0.9055 | 1.0284 | 0.7576 | 7 |
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- | 0.4009 | 0.9240 | 1.0385 | 0.7532 | 8 |
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- | 0.3644 | 0.9338 | 1.0379 | 0.7446 | 9 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 2.7650
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+ - Train Accuracy: 0.2801
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+ - Validation Loss: 2.4192
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+ - Validation Accuracy: 0.3463
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 4e-05, 'decay_steps': 1160, 'end_learning_rate': 4e-08, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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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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+ | 2.7650 | 0.2801 | 2.4192 | 0.3463 | 0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
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