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--- |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- trnslation |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper-Sinhala_Audio_to_Text |
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results: [] |
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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-Sinhala_Audio_to_Text |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9038 |
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- Wer: 50.0822 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 50 |
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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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| 0.0665 | 4.76 | 1000 | 0.5398 | 57.8125 | |
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| 0.0096 | 9.52 | 2000 | 0.6716 | 56.2089 | |
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| 0.0037 | 14.29 | 3000 | 0.7457 | 52.7549 | |
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| 0.0005 | 19.05 | 4000 | 0.8000 | 51.1513 | |
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| 0.002 | 23.81 | 5000 | 0.8057 | 51.6859 | |
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| 0.0005 | 28.57 | 6000 | 0.8150 | 50.3289 | |
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| 0.0005 | 33.33 | 7000 | 0.8445 | 51.0280 | |
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| 0.0 | 38.1 | 8000 | 0.8773 | 50.1234 | |
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| 0.0 | 42.86 | 9000 | 0.8944 | 50.1234 | |
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| 0.0 | 47.62 | 10000 | 0.9038 | 50.0822 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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