fs-w-he-tiny
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6276
- Wer: 139.9335
- Cer: 134.1807
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 10.7026 | 4.5872 | 500 | 10.1826 | 184.1406 | 154.3198 |
| 2.9461 | 9.1743 | 1000 | 3.4468 | 227.1130 | 234.3696 |
| 1.2202 | 13.7615 | 1500 | 2.2670 | 130.1045 | 120.0275 |
| 0.5577 | 18.3486 | 2000 | 1.9164 | 113.2953 | 101.0735 |
| 0.2603 | 22.9358 | 2500 | 1.9956 | 138.4615 | 129.8952 |
| 0.0533 | 27.5229 | 3000 | 2.1263 | 130.7217 | 120.5428 |
| 0.012 | 32.1101 | 3500 | 2.3153 | 111.6334 | 96.2985 |
| 0.0012 | 36.6972 | 4000 | 2.4891 | 126.2108 | 114.8574 |
| 0.0003 | 41.2844 | 4500 | 2.5962 | 139.4112 | 129.4401 |
| 0.0002 | 45.8716 | 5000 | 2.6276 | 139.9335 | 134.1807 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for hiwden00/fs-w-he-tiny
Base model
openai/whisper-tiny