metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-Split-Sentences-specAug
results: []
whisper-small-Split-Sentences-specAug
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8726
- Cer: 31.4957
- Wer: 52.7152
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: 5e-06
- train_batch_size: 4
- 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
- num_epochs: 9
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 3.4095 | 1.0 | 2706 | 1.0676 | 35.6254 | 61.2682 |
| 1.7232 | 2.0 | 5412 | 0.9871 | 35.7510 | 58.4606 |
| 1.4588 | 3.0 | 8118 | 0.9348 | 38.6172 | 61.8845 |
| 1.3133 | 4.0 | 10824 | 0.9094 | 31.8923 | 52.5577 |
| 1.221 | 5.0 | 13530 | 0.8874 | 31.6711 | 52.2838 |
| 1.1556 | 6.0 | 16236 | 0.8726 | 31.4957 | 52.7152 |
| 1.1084 | 7.0 | 18942 | 0.8692 | 32.7075 | 53.9341 |
| 1.0673 | 8.0 | 21648 | 0.8635 | 32.1992 | 51.4620 |
| 1.0478 | 9.0 | 24354 | 0.8614 | 32.5779 | 53.4616 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.0