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--- |
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language: |
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- en |
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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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- UCLASS |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small En - Sridhar Vanga |
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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: sridhar1ga/UCLASS |
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type: UCLASS |
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args: 'config: en' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 41.49512459371614 |
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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 En - Sridhar Vanga |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the sridhar1ga/UCLASS dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0974 |
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- Wer: 41.4951 |
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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: 8 |
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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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| 0.0513 | 18.5185 | 500 | 1.5771 | 61.3218 | |
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| 0.0056 | 37.0370 | 1000 | 1.8013 | 42.1452 | |
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| 0.0089 | 55.5556 | 1500 | 1.8905 | 65.0054 | |
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| 0.0054 | 74.0741 | 2000 | 1.7860 | 44.9621 | |
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| 0.0016 | 92.5926 | 2500 | 1.9571 | 41.9285 | |
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| 0.0001 | 111.1111 | 3000 | 2.0281 | 41.0618 | |
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| 0.0001 | 129.6296 | 3500 | 2.0595 | 41.9285 | |
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| 0.0001 | 148.1481 | 4000 | 2.0805 | 41.3868 | |
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| 0.0001 | 166.6667 | 4500 | 2.0927 | 41.4951 | |
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| 0.0001 | 185.1852 | 5000 | 2.0974 | 41.4951 | |
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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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