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Upload TFRobertaForSequenceClassification

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  1. README.md +7 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
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  ---
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  license: cc-by-4.0
 
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  tags:
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  - generated_from_keras_callback
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- base_model: bertin-project/bertin-roberta-base-spanish
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  model-index:
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  - name: bertin-roberta-spanish-autotextification
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  results: []
@@ -15,7 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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-
 
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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: None
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  - training_precision: float32
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  ### Training results
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  ### Framework versions
 
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  ---
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  license: cc-by-4.0
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+ base_model: bertin-project/bertin-roberta-base-spanish
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  tags:
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  - generated_from_keras_callback
 
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  model-index:
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  - name: bertin-roberta-spanish-autotextification
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  results: []
 
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.3283
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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': 3e-05, '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 | Epoch |
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+ |:----------:|:-----:|
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+ | 0.3283 | 0 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 498869056
 
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