metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output_model_shunyalabs_data_base_model_proper_feature_extractor
results: []
output_model_shunyalabs_data_base_model_proper_feature_extractor
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5820
- Wer: 24.2800
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5757 | 1.9531 | 2500 | 0.8046 | 47.6148 |
| 0.2328 | 3.9062 | 5000 | 0.6716 | 41.8697 |
| 0.0709 | 5.8594 | 7500 | 0.6649 | 36.1985 |
| 0.0390 | 7.8125 | 10000 | 0.6370 | 32.9789 |
| 0.0096 | 9.7656 | 12500 | 0.6417 | 30.9408 |
| 0.0052 | 11.7188 | 15000 | 0.6051 | 27.2190 |
| 0.0002 | 13.6719 | 17500 | 0.5878 | 24.6197 |
| 0.0001 | 15.625 | 20000 | 0.5820 | 24.2800 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2