whisper-base-ft-dialect-detection – AI Model by jainsakshi | AlphaNeural AI

You can deploy this model and start earning money today!

jainsakshi/
whisper-base-ft-dialect-detection

like

0

dialect-detection

generated_from_trainer

openai/whisper-base

Views

No views yet

whisper-base-ft-dialect-detection

This model is a fine-tuned version of openai/whisper-base on the common_language dataset. It achieves the following results on the evaluation set:

Loss: 0.6761
Accuracy: 0.6667

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: 32
eval_batch_size: 16
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2	0.7001	0.3333
No log	2.0	4	0.6855	0.5556
No log	3.0	6	0.6761	0.6667
No log	4.0	8	0.6674	0.6667
No log	5.0	10	0.6609	0.6667
No log	6.0	12	0.6551	0.6667
No log	7.0	14	0.6507	0.6667
No log	8.0	16	0.6476	0.6667
No log	9.0	18	0.6457	0.6667
No log	10.0	20	0.6447	0.6667

Framework versions

Transformers 4.41.2
Pytorch 2.1.2+cu118
Datasets 2.19.1
Tokenizers 0.19.1