---
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 9712 FULL-2024-10-24 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3684
- Wer Ortho: 20.2615
- Wer: 14.4085

## 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: 5e-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     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.6536        | 0.3661 | 200  | 0.4514          | 25.3730   | 18.9684 |
| 0.5136        | 0.7323 | 400  | 0.4055          | 22.8309   | 16.6362 |
| 0.4422        | 1.0984 | 600  | 0.3855          | 21.7595   | 15.9420 |
| 0.3691        | 1.4645 | 800  | 0.3767          | 22.0561   | 15.9885 |
| 0.3633        | 1.8307 | 1000 | 0.3694          | 21.1391   | 15.3002 |
| 0.3282        | 2.1968 | 1200 | 0.3701          | 21.1633   | 15.3641 |
| 0.284         | 2.5629 | 1400 | 0.3657          | 20.5429   | 14.6728 |
| 0.2819        | 2.9291 | 1600 | 0.3640          | 20.4431   | 14.6031 |
| 0.2449        | 3.2952 | 1800 | 0.3672          | 20.4067   | 14.5247 |
| 0.2382        | 3.6613 | 2000 | 0.3684          | 20.2615   | 14.4085 |


### Framework versions

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