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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) 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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- 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': '
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Epoch |
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### Framework versions
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 4.3219
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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': False, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Epoch |
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| 4.3219 | 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 1110105320
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version https://git-lfs.github.com/spec/v1
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oid sha256:e15ec6d27e524ad08b4a3c626fdea1559902af433d7c6026bcc807064a6bfdbb
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size 1110105320
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