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Whisper Small Es - Sanchit Gandhi
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: 2.5129
- Wer: 56.4413
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 750
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.3605 | 2.3 | 50 | 6.2660 | 55.7247 |
| 5.3113 | 4.6 | 100 | 5.1187 | 56.4590 |
| 4.2749 | 6.9 | 150 | 4.2391 | 55.6185 |
| 3.5266 | 9.2 | 200 | 3.4143 | 53.6719 |
| 3.0671 | 11.49 | 250 | 3.1045 | 49.2037 |
| 2.8716 | 13.79 | 300 | 2.9260 | 50.7786 |
| 2.7263 | 16.09 | 350 | 2.7987 | 53.5746 |
| 2.6467 | 18.39 | 400 | 2.7079 | 55.0787 |
| 2.5624 | 20.69 | 450 | 2.6443 | 55.6008 |
| 2.5087 | 22.99 | 500 | 2.5989 | 57.3881 |
| 2.4922 | 25.29 | 550 | 2.5660 | 55.9370 |
| 2.4274 | 27.59 | 600 | 2.5421 | 56.4325 |
| 2.4337 | 29.89 | 650 | 2.5257 | 57.4058 |
| 2.3991 | 32.18 | 700 | 2.5165 | 57.0165 |
| 2.4211 | 34.48 | 750 | 2.5129 | 56.4413 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.1.0
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
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