---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-pt-nonverbal-v3-1-demo
  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-medium-pt-nonverbal-v3-1-demo

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5803
- Wer: 47.7893

## 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-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.3675        | 0.2841 | 100  | 2.3957          | 136.7360 |
| 0.3724        | 0.5682 | 200  | 0.7022          | 141.4824 |
| 0.2198        | 0.8523 | 300  | 0.6064          | 113.4590 |
| 0.1343        | 1.1364 | 400  | 0.6187          | 68.3355  |
| 0.1647        | 1.4205 | 500  | 0.6852          | 88.4915  |
| 0.1516        | 1.7045 | 600  | 0.6420          | 230.7542 |
| 0.1679        | 1.9886 | 700  | 0.4757          | 58.0624  |
| 0.0954        | 2.2727 | 800  | 0.5675          | 48.1144  |
| 0.0653        | 2.5568 | 900  | 0.7046          | 66.2549  |
| 0.0906        | 2.8409 | 1000 | 0.4930          | 41.6775  |
| 0.0363        | 3.125  | 1100 | 0.5209          | 54.2913  |
| 0.0476        | 3.4091 | 1200 | 0.5836          | 49.6099  |
| 0.075         | 3.6932 | 1300 | 0.5253          | 49.1547  |
| 0.0274        | 3.9773 | 1400 | 0.5842          | 48.3095  |
| 0.0118        | 4.2614 | 1500 | 0.5568          | 45.0585  |
| 0.0121        | 4.5455 | 1600 | 0.5740          | 48.6996  |
| 0.0111        | 4.8295 | 1700 | 0.5486          | 48.8296  |
| 0.0055        | 5.1136 | 1800 | 0.5646          | 46.8791  |
| 0.0032        | 5.3977 | 1900 | 0.5771          | 47.9844  |
| 0.0043        | 5.6818 | 2000 | 0.5803          | 47.7893  |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1