metadata
library_name: transformers
license: mit
base_model: JacobLinCool/whisper-large-v3-turbo-half
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
metrics:
- wer
model-index:
- name: whisper-large-v3-turbo-half-stage-2
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: common_voice_16_1
type: common_voice_16_1
config: en
split: test
args: en
metrics:
- type: wer
value: 30.73583677013241
name: Wer
whisper-large-v3-turbo-half-stage-2
This model is a fine-tuned version of JacobLinCool/whisper-large-v3-turbo-half on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8327
- Wer: 30.7358
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 0.7508 | 25.6132 |
| 1.1243 | 0.1 | 500 | 1.5399 | 75.5155 |
| 0.8571 | 0.2 | 1000 | 1.3668 | 61.1895 |
| 0.7222 | 0.3 | 1500 | 1.2842 | 70.1324 |
| 0.6757 | 0.4 | 2000 | 1.1646 | 50.5101 |
| 0.5335 | 0.5 | 2500 | 1.0503 | 40.9811 |
| 0.5068 | 0.6 | 3000 | 0.9836 | 36.8135 |
| 0.4505 | 0.7 | 3500 | 0.9124 | 33.7964 |
| 0.4378 | 0.8 | 4000 | 0.8649 | 36.5965 |
| 0.4292 | 0.9 | 4500 | 0.8402 | 37.7035 |
| 0.3966 | 1.0 | 5000 | 0.8327 | 30.7358 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.8.0.dev20250319+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2