FULL6
This model is a fine-tuned version of openai/whisper-large-v3 on the 975 FULL-2024-11-22 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4373
- Wer Ortho: 25.5230
- Wer: 18.3561
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: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.7251 | 3.6364 | 200 | 0.4785 | 29.2588 | 20.7087 |
| 0.3985 | 7.2727 | 400 | 0.4373 | 25.5230 | 18.3561 |
Framework versions
- Transformers 4.44.0
- Pytorch 1.13.1+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 13
Model tree for Makkoen/whisper-large-v3-cit-do015-wd0-lr1e-06-steps500-LA
Base model
openai/whisper-large-v3