Configuration Parsing
Warning:
In adapter_config.json: "peft.task_type" must be a string
Demo Model Whisper Large
This model is a fine-tuned version of openai/whisper-large-v3 on the b-brave/speech_disorders_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2968
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: 0.001
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.305 | 1.6393 | 50 | 0.3418 |
| 0.2049 | 3.2787 | 100 | 0.2850 |
| 0.0822 | 4.9180 | 150 | 0.3048 |
| 0.0203 | 6.5574 | 200 | 0.2968 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Downloads last month
- 99
Unable to determine this model’s pipeline type. Check the
docs
.