metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: whisper-medium-en-cv-6.2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 17.0
type: mozilla-foundation/common_voice_17_0
args: 'config: en, split: test'
metrics:
- name: Wer
type: wer
value: 31.659522351500307
whisper-medium-en-cv-6.2
This model is a fine-tuned version of openai/whisper-medium.en on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1366
- Wer: 31.6595
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: 3e-05
- train_batch_size: 48
- 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: 750
- training_steps: 7500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 2.4185 | 46.5401 |
| 0.6822 | 0.1 | 750 | 0.9972 | 36.9871 |
| 0.2058 | 1.1 | 1500 | 1.0039 | 48.4997 |
| 0.0635 | 2.1 | 2250 | 1.0966 | 42.9884 |
| 0.0275 | 3.1 | 3000 | 1.1136 | 35.3950 |
| 0.0149 | 4.1 | 3750 | 1.1359 | 33.1598 |
| 0.0075 | 5.1 | 4500 | 1.1148 | 37.3546 |
| 0.0043 | 6.1 | 5250 | 1.1232 | 33.9865 |
| 0.0008 | 7.1 | 6000 | 1.1331 | 35.3644 |
| 0.0005 | 8.1 | 6750 | 1.1354 | 31.4452 |
| 0.0004 | 9.1 | 7500 | 1.1366 | 31.6595 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1