---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: sumukhshadakshari/whisper-finetuned-atco2_uwb
  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. -->

# sumukhshadakshari/whisper-finetuned-atco2_uwb

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the AtCO2_UWB dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5665
- Wer: 26.4179

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7865        | 1.0   | 609  | 0.8728          | 52.9827 |
| 0.5848        | 2.0   | 1218 | 0.6320          | 34.8257 |
| 0.4175        | 3.0   | 1827 | 0.5784          | 29.2477 |
| 0.2928        | 4.0   | 2436 | 0.5656          | 27.7268 |
| 0.241         | 5.0   | 3045 | 0.5665          | 26.4179 |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.19.1