metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
model-index:
- name: mixstyle_multi-s
results: []
mixstyle_multi-s
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4159
- Cer: 105.1323
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 912
- training_steps: 9129
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4009 | 0.9997 | 3043 | 0.5068 | 102.8680 |
| 0.292 | 1.9993 | 6086 | 0.4280 | 108.6212 |
| 0.2075 | 2.9990 | 9129 | 0.4159 | 105.1323 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.8.0+cu128
- Datasets 2.21.0
- Tokenizers 0.21.4