openai/whisper-large-v2
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4041
- Wer: 15.7710
- Cer: 7.6691
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Training data:
Evaluation data:
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
0.3983 | 0.1 | 500 | 0.5338 | 19.5876 | 10.6391 |
0.2277 | 1.08 | 1000 | 0.4134 | 16.5826 | 8.2668 |
0.172 | 2.05 | 1500 | 0.3968 | 16.3084 | 7.9787 |
0.1823 | 3.03 | 2000 | 0.3956 | 16.1768 | 7.8159 |
0.1445 | 4.0 | 2500 | 0.3955 | 16.0342 | 7.7438 |
0.147 | 4.1 | 3000 | 0.3965 | 15.8807 | 7.7145 |
0.1292 | 5.08 | 3500 | 0.4000 | 15.8587 | 7.7065 |
0.1187 | 6.05 | 4000 | 0.4029 | 15.7491 | 7.6398 |
0.1368 | 7.03 | 4500 | 0.4041 | 15.7600 | 7.6558 |
0.1231 | 8.0 | 5000 | 0.4041 | 15.7710 | 7.6691 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Downloads last month
- 21
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train geninhu/whisper-large-v2-multiset-vi
Space using geninhu/whisper-large-v2-multiset-vi 1
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 vitest set self-reported15.771
- Cer on mozilla-foundation/common_voice_11_0 vitest set self-reported7.669