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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- wer |
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model-index: |
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- name: whisper_base_finetuned |
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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: audiofolder |
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type: audiofolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.3192600084831479 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/querying/huggingface/runs/1wtpwccg) |
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# whisper_base_finetuned |
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This model was trained from scratch on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3375 |
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- Wer: 0.3193 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 64 |
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- total_eval_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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- num_epochs: 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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| 0.4111 | 1.0 | 973 | 0.4590 | 0.4551 | |
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| 0.4068 | 2.0 | 1946 | 0.3847 | 0.4812 | |
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| 0.3617 | 3.0 | 2919 | 0.3585 | 0.4326 | |
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| 0.3144 | 4.0 | 3892 | 0.3436 | 0.3594 | |
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| 0.272 | 5.0 | 4865 | 0.3425 | 0.3639 | |
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| 0.2246 | 6.0 | 5838 | 0.3371 | 0.3341 | |
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| 0.1541 | 7.0 | 6811 | 0.3404 | 0.3377 | |
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| 0.1387 | 8.0 | 7784 | 0.3370 | 0.3196 | |
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| 0.1554 | 9.0 | 8757 | 0.3387 | 0.3113 | |
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| 0.1692 | 10.0 | 9730 | 0.3375 | 0.3193 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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