metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-nomimo-ls
results: []
whisper-a-nomimo-ls
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: 0.0311
- Wer: 32.3302
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: 11
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9712 | 1.0 | 104 | 0.0786 | 25.0 |
| 3.0599 | 2.0 | 208 | 0.7840 | 3312.3457 |
| 0.3714 | 3.0 | 312 | 0.2694 | 98.3796 |
| 0.2625 | 4.0 | 416 | 0.2197 | 90.9722 |
| 0.2298 | 5.0 | 520 | 0.2035 | 84.9537 |
| 0.1929 | 6.0 | 624 | 0.1519 | 66.0494 |
| 0.1086 | 7.0 | 728 | 0.0641 | 41.6667 |
| 0.0401 | 8.0 | 832 | 0.0421 | 41.6667 |
| 0.0231 | 9.0 | 936 | 0.0324 | 34.8765 |
| 0.0119 | 10.0 | 1040 | 0.0310 | 34.7222 |
| 0.0057 | 10.8986 | 1133 | 0.0311 | 32.3302 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0