metadata
base_model: openai/whisper-tiny
language:
- fa
library_name: transformers
license: apache-2.0
metrics:
- wer
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: Whisper Tiny Persian Combine 5k - Chee Li
results: []
Whisper Tiny Persian Combine 5k - Chee Li
This model is a fine-tuned version of openai/whisper-tiny on the Meta JSON Persian Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.8506
- Wer: 141.9355
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 |
|---|---|---|---|---|
| 2.1197 | 11.9048 | 1000 | 2.1120 | 124.2566 |
| 1.3524 | 23.8095 | 2000 | 1.5111 | 137.1238 |
| 0.7488 | 35.7143 | 3000 | 1.1182 | 138.0068 |
| 0.4132 | 47.6190 | 4000 | 0.9147 | 145.9182 |
| 0.3265 | 59.5238 | 5000 | 0.8506 | 141.9355 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.3