FULL6
This model is a fine-tuned version of openai/whisper-large-v3 on the 9651 FULL-2024-12-01 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3740
- Wer Ortho: 20.5948
- Wer: 14.5676
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-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: 2000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
---|---|---|---|---|---|
0.646 | 0.3683 | 200 | 0.4534 | 25.1768 | 18.6441 |
0.5098 | 0.7366 | 400 | 0.4155 | 24.7355 | 18.4413 |
0.4491 | 1.1050 | 600 | 0.3936 | 21.8793 | 15.6599 |
0.3674 | 1.4733 | 800 | 0.3875 | 21.7736 | 15.4860 |
0.365 | 1.8416 | 1000 | 0.3765 | 21.2869 | 15.1644 |
0.3171 | 2.2099 | 1200 | 0.3779 | 21.1358 | 15.0978 |
0.2886 | 2.5783 | 1400 | 0.3755 | 20.7610 | 14.6661 |
0.2871 | 2.9466 | 1600 | 0.3689 | 20.6009 | 14.6023 |
0.2395 | 3.3149 | 1800 | 0.3752 | 20.6825 | 14.8110 |
0.2444 | 3.6832 | 2000 | 0.3740 | 20.5948 | 14.5676 |
Framework versions
- Transformers 4.44.0
- Pytorch 1.13.1+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6b
Base model
openai/whisper-large-v3