---
license: apache-2.0
base_model: yaygomii/whisper-small-ta-fyp
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-small-dialect-classifier-cross
  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-small-dialect-classifier-cross

This model is a fine-tuned version of [yaygomii/whisper-small-ta-fyp](https://huggingface.co/yaygomii/whisper-small-ta-fyp) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0106
- Accuracy: 0.9990

## 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: 5e-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_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0001        | 1.0   | 548  | 0.0106          | 0.9990   |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2