update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- becasv2
+model-index:
+- name: distilbert-base-uncased-prueba2
+  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. -->
+
+# distilbert-base-uncased-prueba2
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the becasv2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6356
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 9    | 3.9054          |
+| No log        | 2.0   | 18   | 3.1893          |
+| No log        | 3.0   | 27   | 2.9748          |
+| No log        | 4.0   | 36   | 3.1541          |
+| No log        | 5.0   | 45   | 3.2887          |
+| No log        | 6.0   | 54   | 3.5055          |
+| No log        | 7.0   | 63   | 3.5902          |
+| No log        | 8.0   | 72   | 3.6356          |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1