---
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: FULL6
  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. -->

# FULL6

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the FULL-2024-11-22 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3933
- Wer Ortho: 21.7759
- Wer: 15.7318

## 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: 3e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.688         | 0.3661 | 200  | 0.4873          | 26.5992   | 19.7836 |
| 0.5254        | 0.7323 | 400  | 0.4390          | 24.6602   | 18.1855 |
| 0.4648        | 1.0984 | 600  | 0.4158          | 22.9719   | 16.9557 |
| 0.4014        | 1.4645 | 800  | 0.4072          | 23.2981   | 17.1182 |
| 0.3921        | 1.8307 | 1000 | 0.3984          | 22.3407   | 16.2132 |
| 0.3684        | 2.1968 | 1200 | 0.3965          | 22.2350   | 16.3119 |
| 0.3326        | 2.5629 | 1400 | 0.3936          | 21.8665   | 15.6564 |
| 0.3331        | 2.9291 | 1600 | 0.3921          | 21.5282   | 15.4852 |
| 0.3032        | 3.2952 | 1800 | 0.3921          | 21.9390   | 15.8565 |
| 0.3007        | 3.6613 | 2000 | 0.3933          | 21.7759   | 15.7318 |


### Framework versions

- Transformers 4.44.0
- Pytorch 1.13.1+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1