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

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1500
- Wer: 61.5214

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3572        | 12.5  | 50   | 1.9974          | 100.8897 |
| 0.9286        | 25.0  | 100  | 1.5447          | 246.6637 |
| 0.5731        | 37.5  | 150  | 1.3265          | 233.9413 |
| 0.2702        | 50.0  | 200  | 1.2124          | 65.6584  |
| 0.1624        | 62.5  | 250  | 1.1642          | 62.5     |
| 0.0828        | 75.0  | 300  | 1.1518          | 71.1744  |
| 0.0596        | 87.5  | 350  | 1.1501          | 61.8772  |
| 0.0479        | 100.0 | 400  | 1.1500          | 61.5214  |


### Framework versions

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