test-model – AI Model by KieuTruongz | AlphaNeural AI

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KieuTruongz/
test-model

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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test-model

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: 0.2342
Accuracy: 0.9356

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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
training_steps: 600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0226	0.9639	60	0.8861	0.5453
0.8233	1.9277	120	0.6863	0.7123
0.672	2.8916	180	0.4994	0.7988
0.5346	3.8554	240	0.4163	0.8692
0.4306	4.8193	300	0.3459	0.8934
0.3544	5.7831	360	0.3317	0.8853
0.3214	6.7470	420	0.2763	0.9115
0.2778	7.7108	480	0.2877	0.9296
0.2264	8.6747	540	0.2487	0.9336
0.2127	9.6386	600	0.2342	0.9356

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1