metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Medium with Silence text SSD superU
results: []
Whisper Medium with Silence text SSD superU
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9457
- Wer: 108.2931
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: 16
- eval_batch_size: 8
- seed: 42
- 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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.502 | 3.125 | 100 | 2.8539 | 127.1068 |
| 1.3556 | 6.25 | 200 | 2.4154 | 115.9689 |
| 0.7175 | 9.375 | 300 | 2.7462 | 102.9791 |
| 0.2532 | 12.5 | 400 | 3.1023 | 114.7880 |
| 0.1002 | 15.625 | 500 | 3.2100 | 117.9817 |
| 0.0519 | 18.75 | 600 | 3.2355 | 128.6098 |
| 0.0341 | 21.875 | 700 | 3.3208 | 105.7166 |
| 0.024 | 25.0 | 800 | 3.5071 | 102.5497 |
| 0.015 | 28.125 | 900 | 3.6051 | 103.0327 |
| 0.0098 | 31.25 | 1000 | 3.6116 | 118.4917 |
| 0.004 | 34.375 | 1100 | 3.6429 | 102.4960 |
| 0.0053 | 37.5 | 1200 | 3.6545 | 105.0188 |
| 0.0018 | 40.625 | 1300 | 3.7910 | 113.3924 |
| 0.0005 | 43.75 | 1400 | 3.8308 | 110.8964 |
| 0.0004 | 46.875 | 1500 | 3.8879 | 105.2872 |
| 0.0005 | 50.0 | 1600 | 3.9086 | 103.7574 |
| 0.0003 | 53.125 | 1700 | 3.9241 | 110.1181 |
| 0.0003 | 56.25 | 1800 | 3.9369 | 107.2732 |
| 0.0003 | 59.375 | 1900 | 3.9431 | 108.2662 |
| 0.0003 | 62.5 | 2000 | 3.9457 | 108.2931 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.2.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3