update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: fake-news-bert-base-spanish-wwm-cased
+  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. -->
+
+# fake-news-bert-base-spanish-wwm-cased
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5040
+- F1: 0.8767
+
+## 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: 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.512         | 1.0   | 70   | 0.5347          | 0.7474 |
+| 0.2281        | 2.0   | 140  | 0.3820          | 0.8333 |
+| 0.1212        | 3.0   | 210  | 0.3824          | 0.8908 |
+| 0.0495        | 4.0   | 280  | 0.4417          | 0.8818 |
+| 0.0221        | 5.0   | 350  | 0.5040          | 0.8767 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3