---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ./7326
  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. -->

# ./7326

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the 7326 FULL-2024-10-24 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3906
- Wer Ortho: 22.5859
- Wer: 15.5145

## 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     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.6841        | 0.4851 | 200  | 0.4590          | 25.7036   | 18.3842 |
| 0.5245        | 0.9703 | 400  | 0.4204          | 24.1509   | 16.9945 |
| 0.4305        | 1.4554 | 600  | 0.4028          | 23.1144   | 15.9502 |
| 0.4039        | 1.9406 | 800  | 0.3940          | 23.1431   | 16.0444 |
| 0.3567        | 2.4257 | 1000 | 0.3943          | 22.6269   | 15.6754 |
| 0.3391        | 2.9109 | 1200 | 0.3904          | 22.5900   | 15.5459 |
| 0.317         | 3.3960 | 1400 | 0.3906          | 22.5859   | 15.5145 |


### Framework versions

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