whisper-small-Yfreq_speed_pause
This model is a fine-tuned version of openai/whisper-small on the aihub old10 adult freq pause changed dataset. It achieves the following results on the evaluation set:
- Loss: 0.2226
- Cer: 5.8858
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
0.2525 | 0.1289 | 100 | 0.2850 | 7.2721 |
0.1554 | 0.2579 | 200 | 0.2538 | 6.9196 |
0.1233 | 0.3868 | 300 | 0.2527 | 7.0254 |
0.128 | 0.5158 | 400 | 0.2388 | 6.7963 |
0.1086 | 0.6447 | 500 | 0.2389 | 6.7317 |
0.098 | 0.7737 | 600 | 0.2396 | 6.5437 |
0.0977 | 0.9026 | 700 | 0.2315 | 6.2794 |
0.0395 | 1.0316 | 800 | 0.2215 | 6.1384 |
0.0284 | 1.1605 | 900 | 0.2235 | 5.9915 |
0.034 | 1.2895 | 1000 | 0.2253 | 5.7977 |
0.0329 | 1.4184 | 1100 | 0.2234 | 6.1913 |
0.0377 | 1.5474 | 1200 | 0.2252 | 5.7859 |
0.0329 | 1.6763 | 1300 | 0.2245 | 5.8976 |
0.0301 | 1.8053 | 1400 | 0.2231 | 5.9387 |
0.0323 | 1.9342 | 1500 | 0.2226 | 5.8858 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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openai/whisper-small