update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- xnli
+metrics:
+- accuracy
+model-index:
+- name: spanish-TinyBERT-betito-finetuned-xnli-es
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: xnli
+      type: xnli
+      args: es
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7475049900199601
+---
+
+<!-- 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. -->
+
+# spanish-TinyBERT-betito-finetuned-xnli-es
+
+This model is a fine-tuned version of [mrm8488/spanish-TinyBERT-betito](https://huggingface.co/mrm8488/spanish-TinyBERT-betito) on the xnli dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7104
+- Accuracy: 0.7475
+
+## 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: 2.50838112218154e-05
+- train_batch_size: 8
+- eval_batch_size: 64
+- seed: 13
+- 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 | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.7191        | 1.0   | 49399  | 0.6829          | 0.7112   |
+| 0.6323        | 2.0   | 98798  | 0.6527          | 0.7305   |
+| 0.5727        | 3.0   | 148197 | 0.6531          | 0.7465   |
+| 0.4964        | 4.0   | 197596 | 0.7079          | 0.7427   |
+| 0.4929        | 5.0   | 246995 | 0.7104          | 0.7475   |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.4
+- Tokenizers 0.11.6