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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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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: 65.57659208261619 |
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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: 1.0871 |
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- Wer: 65.5766 |
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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: 2e-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: 100 |
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- training_steps: 1000 |
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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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| 1.1857 | 1.5873 | 100 | 0.9525 | 64.8881 | |
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| 0.5773 | 3.1746 | 200 | 0.9205 | 59.1222 | |
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| 0.2841 | 4.7619 | 300 | 0.9536 | 59.2943 | |
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| 0.138 | 6.3492 | 400 | 0.9851 | 54.3890 | |
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| 0.0694 | 7.9365 | 500 | 1.0057 | 59.6386 | |
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| 0.0339 | 9.5238 | 600 | 1.0530 | 64.8021 | |
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| 0.0195 | 11.1111 | 700 | 1.0620 | 61.1876 | |
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| 0.013 | 12.6984 | 800 | 1.0752 | 57.1429 | |
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| 0.0106 | 14.2857 | 900 | 1.0827 | 65.4045 | |
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| 0.0097 | 15.8730 | 1000 | 1.0871 | 65.5766 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Tokenizers 0.20.3 |
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