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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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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 V2 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: 25.160615568504408 |
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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 V2 to Kaggle Albanian |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) 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: 0.3393 |
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- Wer: 25.1606 |
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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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| 0.3422 | 0.1 | 500 | 0.5929 | 44.6536 | |
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| 0.4805 | 0.2 | 1000 | 0.4738 | 37.5890 | |
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| 0.3886 | 0.3 | 1500 | 0.4295 | 34.2173 | |
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| 0.3929 | 0.4 | 2000 | 0.3847 | 30.9552 | |
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| 0.2195 | 1.09 | 2500 | 0.3645 | 28.2136 | |
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| 0.1844 | 1.19 | 3000 | 0.3627 | 27.7056 | |
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| 0.1873 | 1.29 | 3500 | 0.3520 | 27.1403 | |
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| 0.1695 | 1.39 | 4000 | 0.3335 | 26.1816 | |
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| 0.089 | 2.08 | 4500 | 0.3623 | 26.1094 | |
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| 0.072 | 2.18 | 5000 | 0.3393 | 25.1606 | |
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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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