---
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ./openai/whisper-large-v3-cit-do015-wd0-lr1e-06-BALANCED
  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. -->

# ./openai/whisper-large-v3-cit-do015-wd0-lr1e-06-BALANCED

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the FULL dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6001
- Wer Ortho: 32.5152
- Wer: 23.0724

## 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-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: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 1.1025        | 0.8368 | 50   | 0.8647          | 37.5455   | 28.4260 |
| 0.9017        | 1.6736 | 100  | 0.7168          | 37.0      | 29.4443 |
| 0.7253        | 2.5105 | 150  | 0.6533          | 34.0606   | 25.3710 |
| 0.681         | 3.3473 | 200  | 0.6284          | 38.5758   | 30.9281 |
| 0.6067        | 4.1841 | 250  | 0.6172          | 34.0909   | 26.3311 |
| 0.5794        | 5.0209 | 300  | 0.6089          | 34.0909   | 26.2438 |
| 0.5387        | 5.8577 | 350  | 0.6064          | 33.7576   | 25.9529 |
| 0.5171        | 6.6946 | 400  | 0.6025          | 32.7273   | 23.2179 |
| 0.5322        | 7.5314 | 450  | 0.6006          | 36.0909   | 26.1856 |
| 0.5069        | 8.3682 | 500  | 0.6001          | 32.5152   | 23.0724 |


### Framework versions

- Transformers 4.42.4
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1