Training in progress epoch 0
Browse files- README.md +8 -12
- logs/train/events.out.tfevents.1704565419.c34734224c8f.5052.0.v2 +3 -0
- logs/train/events.out.tfevents.1704565641.c34734224c8f.5052.2.v2 +3 -0
- logs/validation/events.out.tfevents.1704565529.c34734224c8f.5052.1.v2 +3 -0
- logs/validation/events.out.tfevents.1704565698.c34734224c8f.5052.3.v2 +3 -0
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Train
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps':
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train
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| 0.2729 | 0.3549 | 0.6901 | 1 |
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| 0.1718 | 0.3977 | 0.6504 | 2 |
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| 0.0976 | 0.4412 | 0.6738 | 3 |
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| 0.0647 | 0.4583 | 0.6642 | 4 |
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### Framework versions
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This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.2560
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- Validation Loss: 0.3284
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- Train Accuracy: 0.8711
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 10752, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.2560 | 0.3284 | 0.8711 | 0 |
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### Framework versions
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logs/train/events.out.tfevents.1704565419.c34734224c8f.5052.0.v2
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logs/train/events.out.tfevents.1704565641.c34734224c8f.5052.2.v2
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