update model card README.md

README.md

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+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-ds
+  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-ds
+
+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:
+- eval_loss: 1.9552
+- eval_f1: 0.6062
+- eval_recall: 0.5982
+- eval_accuracy: 0.5982
+- eval_precision: 0.6312
+- eval_runtime: 15.886
+- eval_samples_per_second: 99.647
+- eval_steps_per_second: 6.232
+- epoch: 6.0
+- step: 2772
+
+## 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: 10
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3