Update README.md (#1)

- Update README.md (11f38fdde9b91706f5a0a61adcac77dba9b29927)

README.md

@@ -1,3 +1,69 @@
----
-license: mit
----
+---
+library_name: transformers
+license: mit
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-small-spanish
+  results: []
+datasets:
+- ciempiess/ciempiess_balance
+- ciempiess/ciempiess_test
+---
+
+<!-- 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-small-espaniol
+
+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: 0.5077
+- Wer: 12.9740
+
+## 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: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2575        | 2.0   | 1000 | 0.3851          | 14.5929 |
+| 0.0644        | 4.0   | 2000 | 0.4300          | 13.7753 |
+| 0.0128        | 6.0   | 3000 | 0.4979          | 13.6955 |
+| 0.0035        | 8.0   | 4000 | 0.5077          | 12.9740 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1