---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bhattasp/whisper-finetuned-all-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bhattasp/whisper-finetuned-all-3

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the atcosimm,AtCO2_UWB, Bial dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2626
- Wer: 13.3868

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2357        | 1.0   | 991  | 0.3171          | 17.5090 |
| 0.139         | 2.0   | 1982 | 0.2580          | 13.1683 |
| 0.0553        | 3.0   | 2973 | 0.2496          | 13.4280 |
| 0.0201        | 4.0   | 3964 | 0.2564          | 12.1646 |
| 0.018         | 5.0   | 4955 | 0.2626          | 13.3868 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0