wav2vec2-base-finetuned-minds-1 – AI Model by saketag73 | AlphaNeural AI

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saketag73/
wav2vec2-base-finetuned-minds-1

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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wav2vec2-base-finetuned-minds-1

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: 1.4208
Accuracy: 0.7611

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: 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.6059	1.0	57	2.5954	0.0973
2.5183	2.0	114	2.5787	0.0973
2.5497	3.0	171	2.5629	0.1416
2.3827	4.0	228	2.5407	0.1858
2.309	5.0	285	2.3023	0.2301
2.0098	6.0	342	2.0528	0.3540
1.797	7.0	399	1.8558	0.4602
1.4416	8.0	456	1.6847	0.5841
1.3491	9.0	513	1.4911	0.6991
1.3468	10.0	570	1.4208	0.7611

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2