gaepago-14 – AI Model by khan123 | AlphaNeural AI

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khan123/
gaepago-14

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audio-classification

generated_from_trainer

endpoints_compatible

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gaepago-14

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7844
Accuracy: 0.2295

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: 96
eval_batch_size: 96
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	6	1.7867	0.1803
1.7936	2.0	12	1.7884	0.1803
1.7936	3.0	18	1.7865	0.2295
1.7864	4.0	24	1.7844	0.2459
1.7802	5.0	30	1.7836	0.2131
1.7802	6.0	36	1.7850	0.2623
1.7779	7.0	42	1.7849	0.2623
1.7779	8.0	48	1.7840	0.2459
1.7711	9.0	54	1.7844	0.2295
1.7743	10.0	60	1.7844	0.2295

Framework versions

Transformers 4.26.0
Pytorch 1.12.0+cu116
Datasets 2.10.1
Tokenizers 0.13.2