whisper-base-ft-common-language-id – AI Model by sanchit-gandhi | AlphaNeural AI

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sanchit-gandhi/
whisper-base-ft-common-language-id

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audio-classification

generated_from_trainer

common_language

endpoints_compatible

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whisper-base-ft-common-language-id

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: 1.0725
Accuracy: 0.7525

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
2.5291	1.0	694	2.4787	0.4806
1.5801	2.0	1388	1.6258	0.6260
1.0144	3.0	2082	1.2886	0.6816
0.7442	4.0	2776	1.0783	0.7237
0.4802	5.0	3470	1.0582	0.7266
0.3378	6.0	4164	1.0173	0.7417
0.1941	7.0	4858	1.0054	0.7446
0.1424	8.0	5552	1.0213	0.7508
0.1242	9.0	6246	1.0567	0.7495
0.1527	10.0	6940	1.0725	0.7525

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.2