End of training

README.md

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+---
+language:
+- es
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Igbo - Obi Egwu
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: ig
+      split: test
+      args: ig
+    metrics:
+    - name: Wer
+      type: wer
+      value: 277.77777777777777
+---
+
+<!-- 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 Igbo - Obi Egwu
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0358
+- Wer: 277.7778
+
+## 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: 64
+- 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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch     | Step | Validation Loss | Wer      |
+|:-------------:|:---------:|:----:|:---------------:|:--------:|
+| 0.0           | 999.0002  | 1000 | 3.6182          | 91.6667  |
+| 0.0           | 1999.0002 | 2000 | 4.2670          | 91.6667  |
+| 0.0           | 2999.0002 | 3000 | 4.6511          | 91.6667  |
+| 0.0           | 3999.0002 | 4000 | 5.0281          | 277.7778 |
+| 0.0           | 4999.0002 | 5000 | 5.0358          | 277.7778 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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