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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_9_0 |
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metrics: |
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- wer |
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model-index: |
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- name: cv9-special-batch8-base |
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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_9_0 |
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type: common_voice_9_0 |
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config: id |
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split: test |
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args: id |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.501265240395675 |
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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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# cv9-special-batch8-base |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_9_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3893 |
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- Wer: 23.5013 |
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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: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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: 5000 |
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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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| 0.4648 | 0.97 | 1000 | 0.4258 | 27.6236 | |
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| 0.2992 | 1.94 | 2000 | 0.3831 | 24.4444 | |
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| 0.1597 | 2.9 | 3000 | 0.3778 | 23.6163 | |
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| 0.1137 | 3.87 | 4000 | 0.3793 | 23.1930 | |
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| 0.0632 | 4.84 | 5000 | 0.3893 | 23.5013 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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