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--- |
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language: |
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- hi |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- konnakol |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Hi - Gopika Krishnan |
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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: Konnakol |
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type: konnakol |
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args: 'config: hi, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 87.64568764568764 |
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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 Small Hi - Gopika Krishnan |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Konnakol dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2352 |
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- Wer: 87.6457 |
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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: 0.0001 |
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- train_batch_size: 32 |
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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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| 0.1507 | 21.7391 | 500 | 1.2891 | 87.7622 | |
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| 0.0428 | 43.4783 | 1000 | 1.4133 | 93.7063 | |
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| 0.0111 | 65.2174 | 1500 | 1.7252 | 89.3939 | |
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| 0.0063 | 86.9565 | 2000 | 1.8134 | 85.8974 | |
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| 0.0035 | 108.6957 | 2500 | 2.0195 | 85.7809 | |
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| 0.003 | 130.4348 | 3000 | 2.0771 | 87.8788 | |
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| 0.0027 | 152.1739 | 3500 | 2.1378 | 87.5291 | |
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| 0.0025 | 173.9130 | 4000 | 2.1730 | 86.4802 | |
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| 0.0025 | 195.6522 | 4500 | 2.2126 | 87.8788 | |
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| 0.0025 | 217.3913 | 5000 | 2.2352 | 87.6457 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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