---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-atco2-asr
  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-tiny-atco2-asr

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0505
- Wer: 112.9893

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8611        | 12.5  | 50   | 1.5491          | 100.1779 |
| 0.5484        | 25.0  | 100  | 1.1962          | 91.5036  |
| 0.1272        | 37.5  | 150  | 1.0106          | 158.7189 |
| 0.0125        | 50.0  | 200  | 1.0290          | 124.3327 |
| 0.0074        | 62.5  | 250  | 1.0401          | 116.7705 |
| 0.005         | 75.0  | 300  | 1.0461          | 118.6833 |
| 0.0044        | 87.5  | 350  | 1.0493          | 113.0783 |
| 0.004         | 100.0 | 400  | 1.0505          | 112.9893 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0