metadata

license: apache-2.0
base_model: yaygomii/whisper-small-ta-fyp
tags:
  - generated_from_trainer
datasets:
  - audio_classification
model-index:
  - name: whisper-small-dialect-classifier
    results: []

whisper-small-dialect-classifier

This model is a fine-tuned version of yaygomii/whisper-small-ta-fyp on the Tamil-Speech-Dialect-Corpus-Shuffled-Split dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1462
eval_accuracy: 0.9713
eval_runtime: 37.5749
eval_samples_per_second: 28.796
eval_steps_per_second: 1.81
epoch: 10.0
step: 5410

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: 20
mixed_precision_training: Native AMP

Framework versions

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