metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-pashto
results: []
whisper-small-pashto
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4625
- Wer: 30.8805
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.008 | 0.9901 | 100 | 0.4411 | 28.5655 |
| 0.0058 | 1.9802 | 200 | 0.4440 | 28.3175 |
| 0.0073 | 2.9703 | 300 | 0.4664 | 28.9376 |
| 0.0095 | 3.9604 | 400 | 0.4832 | 30.6738 |
| 0.0148 | 4.9505 | 500 | 0.4625 | 30.8805 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.2.0
- Datasets 3.2.0
- Tokenizers 0.21.0