---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-cit-do015-wd0-lr3e-06-FULL2
  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. -->

# whisper-large-v3-cit-do015-wd0-lr3e-06-FULL2

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5176
- Wer Ortho: 27.7646
- Wer: 19.7671

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- 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: 200
- training_steps: 800
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.8323        | 0.6780 | 100  | 0.5981          | 33.0631   | 24.2505 |
| 0.5649        | 1.3559 | 200  | 0.5405          | 32.6716   | 24.1167 |
| 0.4921        | 2.0339 | 300  | 0.5132          | 30.1272   | 22.0155 |
| 0.3926        | 2.7119 | 400  | 0.5088          | 28.8271   | 21.1724 |
| 0.348         | 3.3898 | 500  | 0.5122          | 27.7925   | 19.6868 |
| 0.3125        | 4.0678 | 600  | 0.5093          | 28.2958   | 20.3560 |
| 0.2761        | 4.7458 | 700  | 0.5146          | 27.5828   | 19.5262 |
| 0.2664        | 5.4237 | 800  | 0.5176          | 27.7646   | 19.7671 |


### Framework versions

- Transformers 4.44.0
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1