metadata

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: []

whisper-small-dialect-classifier-cross

This model is a fine-tuned version of 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