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--- |
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license: apache-2.0 |
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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-small-nl |
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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-small-nl |
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This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3034 |
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- Wer: 14.5354 |
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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: 16 |
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- total_train_batch_size: 128 |
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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: 10000 |
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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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| 0.2045 | 2.49 | 1000 | 0.3194 | 16.1628 | |
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| 0.0652 | 4.97 | 2000 | 0.3425 | 16.3672 | |
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| 0.0167 | 7.46 | 3000 | 0.3915 | 15.8187 | |
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| 0.0064 | 9.95 | 4000 | 0.4190 | 15.7298 | |
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| 0.1966 | 2.02 | 5000 | 0.3298 | 15.0881 | |
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| 0.1912 | 4.04 | 6000 | 0.3266 | 14.8764 | |
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| 0.1008 | 7.02 | 7000 | 0.3261 | 14.8086 | |
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| 0.0899 | 9.04 | 8000 | 0.3196 | 14.6487 | |
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| 0.1126 | 12.02 | 9000 | 0.3283 | 14.5894 | |
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| 0.1071 | 14.04 | 10000 | 0.3034 | 14.5354 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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