wav2vec2-base-finetuned-ic-slurp-wt_init – AI Model by gokuls | AlphaNeural AI

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gokuls/
wav2vec2-base-finetuned-ic-slurp-wt_init

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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wav2vec2-base-finetuned-ic-slurp-wt_init

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

Loss: 3.8597
Accuracy: 0.0627

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: 0.001
train_batch_size: 24
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.7961	1.0	527	3.9199	0.0400
3.797	2.0	1055	3.9294	0.0520
3.9174	3.0	1582	3.8597	0.0627
3.9264	4.0	2110	3.8551	0.0627
3.8772	5.0	2637	3.8744	0.0627
3.9218	6.0	3165	3.8676	0.0627
3.8898	7.0	3692	3.8515	0.0627
3.9045	8.0	4220	3.8544	0.0627

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2