Whisper Medium Ro - Sarbu Vlad - multi gpu - 3
This model is a fine-tuned version of openai/whisper-medium on the Common Voice 16.1 + Romanian speech synthesis dataset. It achieves the following results on the evaluation set:
- Loss: 0.0795
- Wer: 5.5883
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-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 30
- total_eval_batch_size: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1485 | 0.43 | 500 | 0.1439 | 14.2157 |
| 0.1344 | 0.86 | 1000 | 0.1165 | 11.6208 |
| 0.0745 | 1.3 | 1500 | 0.0930 | 9.7621 |
| 0.0727 | 1.73 | 2000 | 0.0912 | 9.5309 |
| 0.0269 | 2.16 | 2500 | 0.0802 | 8.1468 |
| 0.0284 | 2.59 | 3000 | 0.0807 | 8.2411 |
| 0.0162 | 3.03 | 3500 | 0.0765 | 7.6691 |
| 0.0123 | 3.46 | 4000 | 0.0782 | 7.2159 |
| 0.0199 | 3.89 | 4500 | 0.0794 | 6.9847 |
| 0.0086 | 4.32 | 5000 | 0.0763 | 6.4766 |
| 0.0083 | 4.75 | 5500 | 0.0768 | 6.6196 |
| 0.0037 | 5.19 | 6000 | 0.0813 | 6.4371 |
| 0.0035 | 5.62 | 6500 | 0.0780 | 6.0203 |
| 0.0025 | 6.05 | 7000 | 0.0826 | 6.4340 |
| 0.0032 | 6.48 | 7500 | 0.0763 | 5.7344 |
| 0.0021 | 6.91 | 8000 | 0.0762 | 5.9260 |
| 0.0011 | 7.35 | 8500 | 0.0790 | 5.5914 |
| 0.001 | 7.78 | 9000 | 0.0788 | 5.5245 |
| 0.0004 | 8.21 | 9500 | 0.0785 | 5.5883 |
| 0.0004 | 8.64 | 10000 | 0.0795 | 5.5883 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for VladS159/Whisper_medium_ro_VladS_10000_steps_multi_gpu_07_03_2024
Base model
openai/whisper-mediumDataset used to train VladS159/Whisper_medium_ro_VladS_10000_steps_multi_gpu_07_03_2024
Evaluation results
- Wer on Common Voice 16.1 + Romanian speech synthesisself-reported5.588