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--- |
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library_name: transformers |
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language: |
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- id |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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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 Tiny - FineTuned - Id - |
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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: id |
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split: None |
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args: 'config: id, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 59.896729776247845 |
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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 Tiny - FineTuned - Id - |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 1.4286 |
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- Wer: 59.8967 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 10 |
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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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| 1.7163 | 0.0159 | 1 | 1.8245 | 86.1446 | |
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| 1.7097 | 0.0317 | 2 | 1.8245 | 86.1446 | |
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| 1.7377 | 0.0476 | 3 | 1.8245 | 86.1446 | |
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| 1.65 | 0.0635 | 4 | 1.8245 | 86.1446 | |
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| 1.9103 | 0.0794 | 5 | 1.7649 | 68.5026 | |
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| 1.7345 | 0.0952 | 6 | 1.6261 | 74.1824 | |
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| 1.5202 | 0.1111 | 7 | 1.5249 | 59.6386 | |
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| 1.5166 | 0.1270 | 8 | 1.4786 | 59.3804 | |
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| 1.5636 | 0.1429 | 9 | 1.4523 | 59.5525 | |
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| 1.5493 | 0.1587 | 10 | 1.4286 | 59.8967 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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