Whisper Small Hi gpu_ft2
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 9.0140
- Wer: 1650.1227
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 10.8731 | 0.12 | 25 | 10.3543 | 494.5780 |
| 9.671 | 0.24 | 50 | 9.0140 | 1650.1227 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+rocm5.4.2
- Datasets 2.14.5
- Tokenizers 0.12.1
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Model tree for RamNaamSatyaHai/whisper-small-hi-gpu_ft2
Base model
openai/whisper-smallDataset used to train RamNaamSatyaHai/whisper-small-hi-gpu_ft2
Evaluation results
- Wer on Common Voice 11.0test set self-reported1650.123