Create README.md
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README.md
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---
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license: apache-2.0
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base_model: openai/whisper-medium
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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 medium 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: 26.91
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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 medium to Kaggle Albanian
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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: 26.91
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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: 5500
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Step | Validation Loss | Wer |
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|:-------------:|:----:|:---------------:|:-------:|
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| 0.4716 | 500 | 0.5687 | 45.1093 |
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| 0.3883 | 1000 | 0.4522 | 36.6402 |
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| 0.3695 | 1500 | 0.4099 | 33.9459 |
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| 0.3375 | 2000 | 0.3783 | 31.4906 |
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| 0.2146 | 2500 | 0.3662 | 29.5184 |
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| 0.2010 | 3000 | 0.3638 | 29.7474 |
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| 0.1799 | 3500 | 0.3519 | 28.6020 |
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| 0.1791 | 4000 | 0.3455 | 28.3978 |
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| 0.0621 | 4500 | 0.3592 | 27.1452 |
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| 0.0679 | 5000 | 0.3561 | 27.1079 |
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| 0.0687 | 5500 | 0.3560 | 26.9186 |
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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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