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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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- 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-for-maltese |
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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-for-maltese |
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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: 3.3026 |
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- Wer: 120.5033 |
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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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- 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: 4000 |
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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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| 2.2456 | 3.57 | 500 | 2.5059 | 99.2583 | |
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| 1.346 | 7.14 | 1000 | 2.4891 | 421.1391 | |
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| 0.7287 | 10.71 | 1500 | 2.7307 | 121.1921 | |
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| 0.3432 | 14.29 | 2000 | 2.9824 | 131.7086 | |
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| 0.2834 | 17.86 | 2500 | 3.1282 | 122.0397 | |
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| 0.2239 | 21.43 | 3000 | 3.2050 | 113.4040 | |
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| 0.1978 | 25.0 | 3500 | 3.2739 | 118.5695 | |
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| 0.1476 | 28.57 | 4000 | 3.3026 | 120.5033 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.1 |
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- Tokenizers 0.13.3 |
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