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mageec/wav2vec2_capstone

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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WAV2VEC2CAPSTONEMODEL

This model is a fine-tuned version of facebook/wav2vec2-base on a subset of the commonvoice16_1 dataset. It achieves the following results on the evaluation set:

—Loss: 0.3952
—Accuracy: 0.9098
—F1 score: 0.9097

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: 0.0003
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—gradientaccumulationsteps: 10
—totaltrainbatch_size: 80
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_ratio: 0.1
—num_epochs: 8
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 score
0.9339	1.0	776	1.4214	0.7162	0.7094
0.5663	2.0	1552	1.0182	0.8318	0.8277
0.4408	3.0	2328	0.6117	0.8795	0.8784
0.3521	4.0	3105	0.5092	0.8998	0.9001
0.2305	5.0	3881	0.3896	0.9004	0.9013
0.1219	6.0	4657	0.3096	0.9196	0.9194
0.0672	6.99	3591	0.3952	0.9098	0.9097

Framework versions

—Transformers 4.36.2
—Pytorch 2.1.2+cu121
—Datasets 2.16.0
—Tokenizers 0.15.0