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# roberta-base-bne-capitel-ner

This model is a fine-tuned version of [BSC-LT/roberta-base-bne-capitel-ner](https://huggingface.co/BSC-LT/roberta-base-bne-capitel-ner) on the conll2002 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1137
- Precision: 0.8638
- Recall: 0.8814
- F1: 0.8725
- Accuracy: 0.9780

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0041        | 1.0   | 1041 | 0.1137          | 0.8638    | 0.8814 | 0.8725 | 0.9780   |
| 0.004         | 2.0   | 2082 | 0.1137          | 0.8638    | 0.8814 | 0.8725 | 0.9780   |
| 0.0039        | 3.0   | 3123 | 0.1137          | 0.8638    | 0.8814 | 0.8725 | 0.9780   |
| 0.003         | 4.0   | 4164 | 0.1137          | 0.8638    | 0.8814 | 0.8725 | 0.9780   |
| 0.0032        | 5.0   | 5205 | 0.1137          | 0.8638    | 0.8814 | 0.8725 | 0.9780   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["conll2002"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "roberta-base-bne-capitel-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "conll2002", "type": "conll2002", "config": "es", "split": "validation", "args": "es"}, "metrics": [{"type": "precision", "value": 0.8637694213015087, "name": "Precision"}, {"type": "recall", "value": 0.8814338235294118, "name": "Recall"}, {"type": "f1", "value": 0.8725122256340272, "name": "F1"}, {"type": "accuracy", "value": 0.9780298635072827, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard safetensors roberta token-classification generated_from_trainer dataset:conll2002 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us