update model card README.md

clasificador-amazonreviews/README.md

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+---
+tags:
+- classification
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: clasificador-amazonreviews
+  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-amazonreviews
+
+This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3330
+- Accuracy: 0.441
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4421        | 1.0   | 500  | 1.3014          | 0.392    |
+| 1.2132        | 2.0   | 1000 | 1.2995          | 0.418    |
+| 1.0692        | 3.0   | 1500 | 1.3330          | 0.441    |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2