whisper-tiny-turkish-0
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3266
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 22500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6204 | 0.0444 | 1000 | 0.6094 |
| 0.5242 | 0.0889 | 2000 | 0.5179 |
| 0.4348 | 0.1333 | 3000 | 0.4674 |
| 0.4048 | 0.1778 | 4000 | 0.4278 |
| 0.3708 | 0.2222 | 5000 | 0.4044 |
| 0.3489 | 0.2667 | 6000 | 0.3904 |
| 0.3276 | 0.3111 | 7000 | 0.3802 |
| 0.3164 | 0.3556 | 8000 | 0.3687 |
| 0.3036 | 0.4 | 9000 | 0.3586 |
| 0.2878 | 0.4444 | 10000 | 0.3548 |
| 0.2831 | 0.4889 | 11000 | 0.3476 |
| 0.2696 | 0.5333 | 12000 | 0.3411 |
| 0.2713 | 0.5778 | 13000 | 0.3383 |
| 0.2512 | 0.6222 | 14000 | 0.3356 |
| 0.2319 | 1.0202 | 15000 | 0.3329 |
| 0.2443 | 1.0647 | 16000 | 0.3288 |
| 0.2242 | 1.1091 | 17000 | 0.3299 |
| 0.2236 | 1.1536 | 18000 | 0.3291 |
| 0.2214 | 1.198 | 19000 | 0.3271 |
| 0.2208 | 1.2424 | 20000 | 0.3264 |
| 0.2132 | 1.2869 | 21000 | 0.3268 |
| 0.2187 | 1.3313 | 22000 | 0.3266 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3