Wav2Vec2_MInDS-14_finetuned – AI Model by 4MG4362 | AlphaNeural AI

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4MG4362/
Wav2Vec2_MInDS-14_finetuned

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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Wav2Vec2_MInDS-14_finetuned

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

Loss: 2.6649
Accuracy: 0.0354

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8	3	2.6414	0.0796
No log	1.87	7	2.6435	0.0531
2.6354	2.93	11	2.6513	0.0354
2.6354	4.0	15	2.6554	0.0442
2.6354	4.8	18	2.6547	0.0442
2.6183	5.87	22	2.6594	0.0531
2.6183	6.93	26	2.6584	0.0531
2.6086	8.0	30	2.6642	0.0442
2.6086	8.8	33	2.6666	0.0442
2.6086	9.87	37	2.6631	0.0531
2.6008	10.93	41	2.6638	0.0442
2.6008	12.0	45	2.6649	0.0354

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1