Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
2026-02-03_18-24-09
This model is a fine-tuned version of openai/whisper-small.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1260
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: 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1105 | 0.1123 | 500 | 1.3997 |
| 1.1916 | 0.2247 | 1000 | 1.1991 |
| 1.0956 | 0.3370 | 1500 | 1.1613 |
| 1.0752 | 0.4493 | 2000 | 1.1453 |
| 1.0687 | 0.5617 | 2500 | 1.1341 |
| 1.0725 | 0.6740 | 3000 | 1.1299 |
| 1.0581 | 0.7863 | 3500 | 1.1269 |
| 1.0457 | 0.8987 | 4000 | 1.1260 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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Base model
openai/whisper-small.en