Configuration Parsing
Warning:
In adapter_config.json: "peft.task_type" must be a string
model_small_fine_tune
This model is a fine-tuned version of openai/whisper-small on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0263
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5302 | 1.0 | 9190 | 0.4251 |
| 0.4236 | 2.0 | 18380 | 0.3349 |
| 0.3016 | 3.0 | 27570 | 0.2664 |
| 0.2174 | 4.0 | 36760 | 0.1974 |
| 0.1518 | 5.0 | 45950 | 0.1337 |
| 0.0947 | 6.0 | 55140 | 0.0801 |
| 0.0438 | 7.0 | 64330 | 0.0418 |
| 0.0263 | 8.0 | 73520 | 0.0263 |
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.2
- Tokenizers 0.20.1
- Downloads last month
- 35
Model tree for Simonom/model_small_fine_tune
Base model
openai/whisper-small