metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
model-index:
- name: whisper-base-me
results: []
whisper-base-me
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5421
- Mazanderani Wer: 0.6836
- Mazanderani Cer: 0.2510
- Gilaki Wer: 0.9606
- Gilaki Cer: 0.3818
- Zazaki Wer: 0.7623
- Zazaki Cer: 0.3182
- Laki Kurdish Wer: 0.6037
- Laki Kurdish Cer: 0.1653
- Talysh Wer: 0.9167
- Talysh Cer: 0.5
- Hawrami Wer: 0.4145
- Hawrami Cer: 0.0865
- Southern Kurdish Wer: 0.5610
- Southern Kurdish Cer: 0.1721
- Avg Wer: 0.7003
- Avg Cer: 0.2678
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: 128
- eval_batch_size: 128
- 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: 100
- num_epochs: 4.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mazanderani Wer | Mazanderani Cer | Gilaki Wer | Gilaki Cer | Zazaki Wer | Zazaki Cer | Laki Kurdish Wer | Laki Kurdish Cer | Talysh Wer | Talysh Cer | Hawrami Wer | Hawrami Cer | Southern Kurdish Wer | Southern Kurdish Cer | Avg Wer | Avg Cer |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5933 | 1.0 | 164 | 0.7337 | 0.8884 | 0.3139 | 0.9969 | 0.3853 | 0.9485 | 0.7335 | 0.7857 | 0.2461 | 0.9167 | 0.5 | 0.5257 | 0.1162 | 0.6900 | 0.2137 | 0.8217 | 0.3584 |
| 0.4436 | 2.0 | 328 | 0.5930 | 0.7514 | 0.2939 | 0.9723 | 0.3818 | 0.8382 | 0.4153 | 0.6487 | 0.1846 | 0.9167 | 0.5 | 0.4419 | 0.0933 | 0.5951 | 0.1798 | 0.7378 | 0.2927 |
| 0.387 | 3.0 | 492 | 0.5509 | 0.6821 | 0.2436 | 0.9523 | 0.3735 | 0.7892 | 0.3340 | 0.6094 | 0.1678 | 0.9167 | 0.5 | 0.4230 | 0.0891 | 0.5705 | 0.1871 | 0.7062 | 0.2707 |
| 0.3575 | 4.0 | 656 | 0.5421 | 0.6836 | 0.2510 | 0.9606 | 0.3818 | 0.7623 | 0.3182 | 0.6037 | 0.1653 | 0.9167 | 0.5 | 0.4145 | 0.0865 | 0.5610 | 0.1721 | 0.7003 | 0.2678 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0