Configuration Parsing
Warning:
In adapter_config.json: "peft.task_type" must be a string
Whisper-medium-Ar-MDD
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2291
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.149 | 1.0 | 546 | 0.2227 |
| 0.0441 | 2.0 | 1092 | 0.2058 |
| 0.041 | 3.0 | 1638 | 0.2052 |
| 0.0176 | 4.0 | 2184 | 0.1955 |
| 0.0342 | 5.0 | 2730 | 0.2243 |
| 0.0211 | 6.0 | 3276 | 0.1919 |
| 0.0131 | 7.0 | 3822 | 0.1895 |
| 0.0109 | 8.0 | 4368 | 0.2097 |
| 0.0038 | 9.0 | 4914 | 0.2223 |
| 0.0023 | 10.0 | 5460 | 0.2291 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 0
Model tree for nrshoudi/Whisper-medium-Ar-MDD
Base model
openai/whisper-medium