---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-large-v3-lora-bn-en-banking

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/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