Training in progress epoch 0
Browse files
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 Matthews Correlation: 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': {'module': 'keras.optimizers.schedules', '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 | Validation Loss | Train Matthews Correlation | Epoch |
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|:----------:|:---------------:|:--------------------------:|:-----:|
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| 0.
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| 0.3307 | 0.3713 | 0.6670 | 1 |
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| 0.3013 | 0.4261 | 0.6670 | 2 |
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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: 0.4409
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- Validation Loss: 0.3139
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- Train Matthews Correlation: 0.7094
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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': 10035, '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 Matthews Correlation | Epoch |
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|:----------:|:---------------:|:--------------------------:|:-----:|
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| 0.4409 | 0.3139 | 0.7094 | 0 |
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### Framework versions
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logs/train/events.out.tfevents.1704635400.86bb3fd0cfc1.153.4.v2
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logs/validation/events.out.tfevents.1704635500.86bb3fd0cfc1.153.5.v2
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