update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper-Timit-Normalizado
+  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. -->
+
+# Whisper-Timit-Normalizado
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7395
+- Wer: 85.3796
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 3000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5923        | 1.27  | 500  | 0.9379          | 98.7612 |
+| 0.1823        | 2.54  | 1000 | 0.6721          | 89.3262 |
+| 0.0852        | 3.81  | 1500 | 0.6534          | 86.1141 |
+| 0.0327        | 5.08  | 2000 | 0.6794          | 84.4019 |
+| 0.0106        | 6.35  | 2500 | 0.7170          | 82.5587 |
+| 0.0064        | 7.61  | 3000 | 0.7395          | 85.3796 |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 1.13.0
+- Datasets 2.1.0
+- Tokenizers 0.13.2