Training in progress epoch 0
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- tf_model.h5 +1 -1
README.md
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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:
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- Train Accuracy: 0.
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- Validation Loss:
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- Validation Accuracy: 0.
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- Epoch:
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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':
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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.
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| 2.3111 | 0.3626 | 2.1394 | 0.3680 | 1 |
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| 1.8627 | 0.4777 | 1.7134 | 0.5325 | 2 |
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| 1.3526 | 0.6580 | 1.4877 | 0.5758 | 3 |
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| 1.0242 | 0.7318 | 1.3084 | 0.6623 | 4 |
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| 0.7743 | 0.8046 | 1.2363 | 0.6883 | 5 |
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| 0.5871 | 0.8784 | 1.0712 | 0.7273 | 6 |
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| 0.4679 | 0.9164 | 1.0081 | 0.7749 | 7 |
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| 0.3966 | 0.9381 | 0.9864 | 0.7706 | 8 |
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| 0.3425 | 0.9555 | 0.9625 | 0.7835 | 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: 2.8423
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- Train Accuracy: 0.2313
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- Validation Loss: 2.5340
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- Validation Accuracy: 0.3593
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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': 5e-05, 'decay_steps': 2320, 'end_learning_rate': 0, '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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| 2.8423 | 0.2313 | 2.5340 | 0.3593 | 0 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 711818664
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version https://git-lfs.github.com/spec/v1
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size 711818664
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