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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9060
- Wer: 49.2883

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.9897        | 12.5  | 50   | 0.8748          | 70.4626 |
| 0.0447        | 25.0  | 100  | 0.8519          | 52.0463 |
| 0.0087        | 37.5  | 150  | 0.8772          | 39.2794 |
| 0.0043        | 50.0  | 200  | 0.8891          | 39.3683 |
| 0.0034        | 62.5  | 250  | 0.8976          | 49.4217 |
| 0.0027        | 75.0  | 300  | 0.9022          | 49.1548 |
| 0.0024        | 87.5  | 350  | 0.9050          | 49.2438 |
| 0.0023        | 100.0 | 400  | 0.9060          | 49.2883 |


### Framework versions

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