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
results: []
output_model_shunyalabs_data_base_model
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: 0.7111
- Wer: 27.4553
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: 50000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1071 | 7.8125 | 10000 | 0.7545 | 38.3547 |
| 0.0229 | 15.625 | 20000 | 0.7664 | 34.2195 |
| 0.0077 | 23.4375 | 30000 | 0.7634 | 30.7931 |
| 0.0002 | 31.25 | 40000 | 0.7175 | 26.8055 |
| 0.0000 | 39.0625 | 50000 | 0.7111 | 27.4553 |
Framework versions
- Transformers 5.0.1.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2