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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- rishabhjain16/kaggle_albanian |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper large V3 to Kaggle Albanian |
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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: rishabhjain16/kaggle_albanian default |
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type: rishabhjain16/kaggle_albanian |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.81094676029683 |
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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 large V3 to Kaggle Albanian |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the rishabhjain16/kaggle_albanian default dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3189 |
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- Wer: 23.8109 |
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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: 16 |
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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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- 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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| 0.2778 | 0.1 | 500 | 0.4945 | 36.9839 | |
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| 0.4343 | 0.2 | 1000 | 0.4290 | 35.1835 | |
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| 0.3523 | 0.3 | 1500 | 0.3780 | 30.6514 | |
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| 0.3833 | 0.4 | 2000 | 0.3436 | 28.0318 | |
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| 0.2029 | 1.09 | 2500 | 0.3360 | 26.5128 | |
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| 0.1797 | 1.19 | 3000 | 0.3351 | 25.8927 | |
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| 0.1687 | 1.29 | 3500 | 0.3249 | 25.8628 | |
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| 0.1603 | 1.39 | 4000 | 0.3089 | 23.9877 | |
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| 0.0762 | 2.08 | 4500 | 0.3345 | 24.5804 | |
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| 0.0676 | 2.18 | 5000 | 0.3189 | 23.8109 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 1.14.0a0+44dac51 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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