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

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7769
- Wer: 23.9769

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5002        | 12.5  | 50   | 0.6266          | 23.6655 |
| 0.0013        | 25.0  | 100  | 0.6931          | 21.6637 |
| 0.0004        | 37.5  | 150  | 0.7297          | 21.7082 |
| 0.0003        | 50.0  | 200  | 0.7492          | 21.8416 |
| 0.0002        | 62.5  | 250  | 0.7622          | 21.8861 |
| 0.0002        | 75.0  | 300  | 0.7703          | 21.9306 |
| 0.0002        | 87.5  | 350  | 0.7753          | 23.0872 |
| 0.0002        | 100.0 | 400  | 0.7769          | 23.9769 |


### Framework versions

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