update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: datos-textcat
+  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. -->
+
+# datos-textcat
+
+This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1623
+- Accuracy: 0.9676
+
+## 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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 122  | 0.7060          | 0.8333   |
+| No log        | 2.0   | 244  | 0.2884          | 0.9259   |
+| No log        | 3.0   | 366  | 0.2334          | 0.9398   |
+| No log        | 4.0   | 488  | 0.1797          | 0.9583   |
+| 0.5069        | 5.0   | 610  | 0.1964          | 0.9676   |
+| 0.5069        | 6.0   | 732  | 0.1686          | 0.9537   |
+| 0.5069        | 7.0   | 854  | 0.1671          | 0.9722   |
+| 0.5069        | 8.0   | 976  | 0.1634          | 0.9630   |
+| 0.034         | 9.0   | 1098 | 0.1693          | 0.9676   |
+| 0.034         | 10.0  | 1220 | 0.1623          | 0.9676   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2