End of training

README.md

@@ -0,0 +1,83 @@
+---
+language:
+- es
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper small es - m1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: google/fleurs
+      config: es_419
+      split: None
+      args: 'config: es_419, split: test, train'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 7.583182873355687
+---
+
+<!-- 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 es - m1
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2369
+- Wer: 7.5832
+
+## 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: 2500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.6526        | 2.8571  | 500  | 0.1860          | 7.4972 |
+| 0.321         | 5.7143  | 1000 | 0.2052          | 7.2866 |
+| 0.0887        | 8.5714  | 1500 | 0.2237          | 7.3639 |
+| 0.0429        | 11.4286 | 2000 | 0.2327          | 7.5144 |
+| 0.0285        | 14.2857 | 2500 | 0.2369          | 7.5832 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "transformers_version": "4.42.4"
+}

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