---
library_name: transformers
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 7263 FULL-2024-11-28 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4058
- Wer Ortho: 22.3744
- Wer: 15.8352

## 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: 1400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.6852        | 0.4896 | 200  | 0.4802          | 27.7318   | 21.0033 |
| 0.5153        | 0.9792 | 400  | 0.4355          | 24.3891   | 17.7718 |
| 0.4247        | 1.4688 | 600  | 0.4202          | 23.1486   | 16.5923 |
| 0.4106        | 1.9584 | 800  | 0.4087          | 22.8364   | 16.4130 |
| 0.3575        | 2.4480 | 1000 | 0.4097          | 22.6283   | 16.0902 |
| 0.3377        | 2.9376 | 1200 | 0.4045          | 23.1237   | 16.6281 |
| 0.3157        | 3.4272 | 1400 | 0.4058          | 22.3744   | 15.8352 |


### Framework versions

- Transformers 4.45.1
- Pytorch 1.13.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0