update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+tags:
+- classification
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: clasificador-anorexia-spanish
+  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. -->
+
+# clasificador-anorexia-spanish
+
+This model is a fine-tuned version of [Recognai/bert-base-spanish-wwm-cased-xnli](https://huggingface.co/Recognai/bert-base-spanish-wwm-cased-xnli) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5353
+- Accuracy: 0.7429
+
+## 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: 5e-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: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 13   | 0.7172          | 0.5429   |
+| No log        | 2.0   | 26   | 0.5772          | 0.7429   |
+| No log        | 3.0   | 39   | 0.5353          | 0.7429   |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3