update model card README.md

README.md

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+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- recall
+- accuracy
+- precision
+model-index:
+- name: bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-dss
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-dss
+
+This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3050
+- F1: 0.4713
+- Recall: 0.4797
+- Accuracy: 0.4797
+- Precision: 0.4820
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Accuracy | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
+| No log        | 1.0   | 359  | 3.4261          | 0.2636 | 0.3268 | 0.3268   | 0.2780    |
+| 3.7358        | 2.0   | 718  | 2.7048          | 0.3631 | 0.4179 | 0.4179   | 0.3773    |
+| 2.4772        | 3.0   | 1077 | 2.4578          | 0.4072 | 0.4407 | 0.4407   | 0.4095    |
+| 2.4772        | 4.0   | 1436 | 2.3357          | 0.4403 | 0.4545 | 0.4545   | 0.4815    |
+| 1.6075        | 5.0   | 1795 | 2.3050          | 0.4713 | 0.4797 | 0.4797   | 0.4820    |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3