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Whisper Small Telugu - Naga Budigam
This model is a fine-tuned version of openai/whisper-small on the Chai_Bisket_Stories_16-08-2021_14-17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2875
- Wer: 38.1492
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2064 | 0.66 | 500 | 0.2053 | 60.1707 |
| 0.1399 | 1.33 | 1000 | 0.1535 | 49.3269 |
| 0.1093 | 1.99 | 1500 | 0.1365 | 44.5516 |
| 0.0771 | 2.66 | 2000 | 0.1316 | 42.1136 |
| 0.0508 | 3.32 | 2500 | 0.1395 | 41.1384 |
| 0.0498 | 3.99 | 3000 | 0.1386 | 40.5395 |
| 0.0302 | 4.65 | 3500 | 0.1529 | 40.9529 |
| 0.0157 | 5.32 | 4000 | 0.1719 | 40.6667 |
| 0.0183 | 5.98 | 4500 | 0.1723 | 40.3646 |
| 0.0083 | 6.65 | 5000 | 0.1911 | 40.4335 |
| 0.0061 | 7.31 | 5500 | 0.2109 | 40.4176 |
| 0.0055 | 7.98 | 6000 | 0.2075 | 39.7021 |
| 0.0039 | 8.64 | 6500 | 0.2186 | 40.2639 |
| 0.0026 | 9.31 | 7000 | 0.2254 | 39.1032 |
| 0.0035 | 9.97 | 7500 | 0.2289 | 39.2834 |
| 0.0016 | 10.64 | 8000 | 0.2332 | 39.1456 |
| 0.0016 | 11.3 | 8500 | 0.2395 | 39.4371 |
| 0.0016 | 11.97 | 9000 | 0.2447 | 39.2410 |
| 0.0009 | 12.63 | 9500 | 0.2548 | 38.7799 |
| 0.0008 | 13.3 | 10000 | 0.2551 | 38.7481 |
| 0.0008 | 13.96 | 10500 | 0.2621 | 38.8276 |
| 0.0007 | 14.63 | 11000 | 0.2633 | 38.6686 |
| 0.0003 | 15.29 | 11500 | 0.2711 | 38.4566 |
| 0.0005 | 15.96 | 12000 | 0.2772 | 38.7852 |
| 0.0001 | 16.62 | 12500 | 0.2771 | 38.2658 |
| 0.0001 | 17.29 | 13000 | 0.2808 | 38.2393 |
| 0.0001 | 17.95 | 13500 | 0.2815 | 38.1810 |
| 0.0 | 18.62 | 14000 | 0.2854 | 38.2022 |
| 0.0 | 19.28 | 14500 | 0.2872 | 38.1333 |
| 0.0 | 19.95 | 15000 | 0.2875 | 38.1492 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0
- Datasets 2.7.1
- Tokenizers 0.13.2
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