metadata
library_name: peft
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-lora-bn-en-banking
results: []
whisper-large-v3-lora-bn-en-banking
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6914
- Wer: 98.5075
- Cer: 94.7368
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.3917 | 1.0 | 1 | 4.8753 | 98.5075 | 94.7368 |
| 2.3917 | 2.0 | 2 | 4.8739 | 98.5075 | 94.7368 |
| 2.3911 | 3.0 | 3 | 4.8704 | 98.5075 | 94.7368 |
| 2.3893 | 4.0 | 4 | 4.8605 | 98.5075 | 94.7368 |
| 2.3856 | 5.0 | 5 | 4.8488 | 98.5075 | 94.7368 |
| 2.3801 | 6.0 | 6 | 4.8313 | 98.5075 | 94.7368 |
| 2.3728 | 7.0 | 7 | 4.8101 | 98.5075 | 94.7368 |
| 2.3642 | 8.0 | 8 | 4.7857 | 98.5075 | 94.7368 |
| 2.354 | 9.0 | 9 | 4.7571 | 98.5075 | 94.7368 |
| 2.3421 | 10.0 | 10 | 4.7262 | 98.5075 | 94.7368 |
| 2.3302 | 11.0 | 11 | 4.6914 | 98.5075 | 94.7368 |
Framework versions
- PEFT 0.15.0
- Transformers 4.49.0
- Pytorch 2.7.1+cu118
- Datasets 3.4.1
- Tokenizers 0.21.1