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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/owr_cv_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 CV 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/owr_cv_albanian default |
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type: rishabhjain16/owr_cv_albanian |
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metrics: |
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- name: Wer |
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type: wer |
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value: 34.623217922606926 |
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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 CV 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/owr_cv_albanian default dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7918 |
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- Wer: 34.6232 |
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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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| 0.0515 | 9.0 | 500 | 0.6733 | 42.4847 | |
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| 0.0101 | 18.01 | 1000 | 0.6810 | 37.5967 | |
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| 0.0074 | 27.01 | 1500 | 0.7185 | 38.0855 | |
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| 0.0009 | 37.0 | 2000 | 0.6987 | 35.5193 | |
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| 0.0002 | 46.0 | 2500 | 0.7393 | 35.0305 | |
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| 0.0001 | 55.01 | 3000 | 0.7603 | 35.0305 | |
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| 0.0001 | 64.01 | 3500 | 0.7739 | 34.8676 | |
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| 0.0001 | 74.0 | 4000 | 0.7832 | 34.8269 | |
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| 0.0001 | 83.0 | 4500 | 0.7895 | 34.9084 | |
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| 0.0001 | 92.01 | 5000 | 0.7918 | 34.6232 | |
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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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