Training in progress epoch 0
Browse files
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 End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 0.
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- Validation End Logits Accuracy: 0.
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- Validation Start Logits 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': 2e-05, 'decay_steps':
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- training_precision: float32
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### Training results
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 1.
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| 0.7063 | 0.7951 | 0.8406 | 0.4692 | 0.8531 | 0.9008 | 1 |
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| 0.5014 | 0.8482 | 0.8900 | 0.4728 | 0.8531 | 0.9046 | 2 |
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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: 1.4900
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- Train End Logits Accuracy: 0.6594
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- Train Start Logits Accuracy: 0.6845
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- Validation Loss: 0.5164
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- Validation End Logits Accuracy: 0.8518
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- Validation Start Logits Accuracy: 0.8982
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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': 2e-05, 'decay_steps': 2412, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 1.4900 | 0.6594 | 0.6845 | 0.5164 | 0.8518 | 0.8982 | 0 |
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### Framework versions
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tf_model.h5
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train/events.out.tfevents.1693464913.8293dfc4e432.183.0.v2
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validation/events.out.tfevents.1693465999.8293dfc4e432.183.1.v2
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size 604
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