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--- |
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language: |
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- ka |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- whisper |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Ka |
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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: Common Voice |
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type: mozilla-foundation/common_voice_16_1 |
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config: ka |
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split: test |
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args: ka |
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metrics: |
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- name: Wer |
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type: wer |
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value: 134.83959527973963 |
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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 Tiny Ka |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.0988 |
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- Wer: 134.8396 |
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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: 0.003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 1000 |
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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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| 5.0576 | 1.45 | 1000 | 5.1841 | 158.1475 | |
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| 4.6405 | 2.9 | 2000 | 4.8881 | 131.9237 | |
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| 4.0627 | 4.35 | 3000 | 4.9336 | 143.5772 | |
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| 3.781 | 5.8 | 4000 | 4.9113 | 129.0976 | |
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| 3.0831 | 7.25 | 5000 | 5.0988 | 134.8396 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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