metadata
library_name: transformers
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Dv - Leon Lee
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 13
type: mozilla-foundation/common_voice_13_0
config: dv
split: test
args: dv
metrics:
- name: Wer
type: wer
value: 9.938449768751955
Whisper Small Dv - Leon Lee
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4909
- Wer Ortho: 53.6249
- Wer: 9.9384
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 100
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0162 | 6.4935 | 500 | 0.2193 | 57.3020 | 11.4285 |
| 0.0027 | 12.9870 | 1000 | 0.2799 | 55.4287 | 10.4983 |
| 0.0013 | 19.4805 | 1500 | 0.3227 | 55.2824 | 10.5105 |
| 0.0007 | 25.9740 | 2000 | 0.3129 | 54.6069 | 10.4149 |
| 0.0 | 32.4675 | 2500 | 0.3903 | 53.6249 | 9.9680 |
| 0.0 | 38.9610 | 3000 | 0.4478 | 53.6945 | 9.9332 |
| 0.0 | 45.4545 | 3500 | 0.4796 | 53.6458 | 9.9524 |
| 0.0 | 51.9481 | 4000 | 0.4909 | 53.6249 | 9.9384 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0