metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-nomimo
results: []
whisper-small-nomimo
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 1.9149
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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 132
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
1.3211 | 1.3889 | 100 | 0.2361 | 12.7660 |
0.7584 | 2.7778 | 200 | 0.1198 | 12.5532 |
0.2285 | 4.1667 | 300 | 0.1448 | 158.5106 |
0.1734 | 5.5556 | 400 | 0.1582 | 27.0213 |
0.1351 | 6.9444 | 500 | 0.0599 | 11.2766 |
0.1252 | 8.3333 | 600 | 0.0704 | 52.9787 |
0.086 | 9.7222 | 700 | 0.1452 | 17.2340 |
0.0865 | 11.1111 | 800 | 0.0404 | 54.0426 |
0.0635 | 12.5 | 900 | 0.0221 | 49.7872 |
0.0672 | 13.8889 | 1000 | 0.0403 | 52.9787 |
0.034 | 15.2778 | 1100 | 0.0459 | 7.0213 |
0.0396 | 16.6667 | 1200 | 0.0205 | 3.8298 |
0.0262 | 18.0556 | 1300 | 0.0147 | 5.1064 |
0.0227 | 19.4444 | 1400 | 0.0101 | 48.2979 |
0.0108 | 20.8333 | 1500 | 0.0019 | 47.0213 |
0.0044 | 22.2222 | 1600 | 0.0013 | 1.7021 |
0.0021 | 23.6111 | 1700 | 0.0001 | 1.9149 |
0.0002 | 25.0 | 1800 | 0.0001 | 1.9149 |
0.0002 | 26.3889 | 1900 | 0.0000 | 1.9149 |
0.0002 | 27.7778 | 2000 | 0.0000 | 1.9149 |
0.0001 | 29.1667 | 2100 | 0.0000 | 1.9149 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1