exp_1715080677 – AI Model by cogniveon | AlphaNeural AI

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cogniveon/
exp_1715080677

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audio-classification

generated_from_trainer

facebook/wav2vec2-base-960h

endpoints_compatible

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exp_1715080677

This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4691
Accuracy: 0.8862

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: 8
eval_batch_size: 8
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
0.6743	1.0	312	0.6215	0.7933
0.563	2.0	624	0.5459	0.8349
0.4834	3.0	936	0.5464	0.8606
0.3928	4.0	1248	0.4926	0.8782
0.3749	5.0	1560	0.4566	0.8846
0.5111	6.0	1872	0.4765	0.8734
0.2556	7.0	2184	0.4317	0.8958
0.2757	8.0	2496	0.4220	0.8926
0.342	9.0	2808	0.4290	0.8958
0.4211	10.0	3120	0.4691	0.8862

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1