metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-nomimose-trial
results: []
whisper-a-nomimose-trial
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: 0.0481
- Wer: 132.6667
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: Use 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: 132
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
1.6555 | 1.0 | 109 | 0.8617 | 56.6667 |
0.154 | 2.0 | 218 | 0.2293 | 52.3333 |
0.0778 | 3.0 | 327 | 0.3132 | 63.3333 |
0.0633 | 4.0 | 436 | 0.1483 | 80.0 |
0.0503 | 5.0 | 545 | 0.3422 | 54.6667 |
0.0533 | 6.0 | 654 | 0.1111 | 186.0 |
0.0332 | 7.0 | 763 | 0.1978 | 101.0 |
0.0242 | 8.0 | 872 | 0.1586 | 62.0 |
0.0204 | 9.0 | 981 | 0.0867 | 59.3333 |
0.0191 | 10.0 | 1090 | 0.1203 | 179.0 |
0.0139 | 11.0 | 1199 | 0.0813 | 40.6667 |
0.0083 | 12.0 | 1308 | 0.0827 | 60.0 |
0.0052 | 13.0 | 1417 | 0.0945 | 131.3333 |
0.0055 | 14.0 | 1526 | 0.0923 | 182.6667 |
0.0055 | 15.0 | 1635 | 0.0937 | 152.6667 |
0.0045 | 16.0 | 1744 | 0.0532 | 117.6667 |
0.0024 | 17.0 | 1853 | 0.0575 | 126.3333 |
0.002 | 18.0 | 1962 | 0.0505 | 136.0 |
0.0022 | 19.0 | 2071 | 0.0491 | 136.3333 |
0.0013 | 19.8203 | 2160 | 0.0481 | 132.6667 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0