metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v3
model-index:
- name: Whisper-large-v3-Arabic-phoneme
results: []
Whisper-large-v3-Arabic-phoneme
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2304
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 |
|---|---|---|---|
| 0.0416 | 1.0 | 546 | 0.2269 |
| 0.0243 | 2.0 | 1092 | 0.2054 |
| 0.0262 | 3.0 | 1638 | 0.1866 |
| 0.009 | 4.0 | 2184 | 0.2000 |
| 0.0196 | 5.0 | 2730 | 0.1928 |
| 0.0071 | 6.0 | 3276 | 0.2099 |
| 0.0054 | 7.0 | 3822 | 0.2070 |
| 0.0066 | 8.0 | 4368 | 0.2189 |
| 0.0006 | 9.0 | 4914 | 0.2325 |
| 0.001 | 10.0 | 5460 | 0.2304 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2