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update model card README.md
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README.md
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---
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language:
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- es
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license: apache-2.0
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: Whisper Small Vi - Shiv Kumar Ganesh
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config: vi
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split: test
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args: vi
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metrics:
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- name: Wer
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type: wer
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value: 46.676902829567894
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Small Vi - Shiv Kumar Ganesh
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7220
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- Wer: 46.6769
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 1200
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.7433 | 1.02 | 100 | 1.6824 | 155.0559 |
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| 0.5929 | 2.04 | 200 | 0.8475 | 55.5824 |
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| 0.1188 | 3.05 | 300 | 0.6646 | 47.2801 |
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| 0.0672 | 5.0 | 400 | 0.7099 | 61.3292 |
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| 0.0317 | 6.02 | 500 | 0.6951 | 49.9013 |
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| 0.0169 | 7.04 | 600 | 0.7658 | 62.8866 |
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| 0.0089 | 8.06 | 700 | 0.6681 | 34.2509 |
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| 0.004 | 10.01 | 800 | 0.6875 | 43.8364 |
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| 0.0015 | 11.03 | 900 | 0.7129 | 46.8195 |
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| 0.0011 | 12.04 | 1000 | 0.7194 | 47.4775 |
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| 0.0011 | 13.06 | 1100 | 0.7217 | 46.1505 |
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| 0.001 | 15.01 | 1200 | 0.7220 | 46.6769 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.1.dev0
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- Tokenizers 0.13.2
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