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# sdiazgt/roberta-base-so-c-us-2

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0960
- Validation Loss: 0.0854
- Train Accuracy: 0.9903
- Train Precision: [0.99153527 0.97962867]
- Train Precision W: 0.9902
- Train Recall: [0.9976309 0.9304433]
- Train Recall W: 0.9903
- Train F1: [0.99457375 0.95440271]
- Train F1 W: 0.9902
- Epoch: 1

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- 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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 11890, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Train Precision         | Train Precision W | Train Recall          | Train Recall W | Train F1                | Train F1 W | Epoch |
|:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:---------------------:|:--------------:|:-----------------------:|:----------:|:-----:|
| 0.0960     | 0.0854          | 0.9903         | [0.99153527 0.97962867] | 0.9902            | [0.9976309 0.9304433] | 0.9903         | [0.99457375 0.95440271] | 0.9902     | 1     |


### Framework versions

- Transformers 4.36.1
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "PlanTL-GOB-ES/roberta-base-bne", "model-index": [{"name": "sdiazgt/roberta-base-so-c-us-2", "results": []}]}
transformers tf roberta text-classification generated_from_keras_callback base_model:PlanTL-GOB-ES/roberta-base-bne license:apache-2.0 autotrain_compatible endpoints_compatible region:us