wav2vec_trained – AI Model by eugenetanjc | AlphaNeural AI

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eugenetanjc/
wav2vec_trained

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wav2vec_trained

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: 0.0337
Wer: 0.1042

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: 0.0001
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_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.3849	2.21	500	2.9148	1.0
1.9118	4.42	1000	0.9627	0.5833
0.7596	6.64	1500	0.8953	0.3542
0.4602	8.85	2000	0.3325	0.2083
0.331	11.06	2500	0.3084	0.2083
0.2474	13.27	3000	0.0960	0.1667
0.1934	15.49	3500	0.1276	0.125
0.156	17.7	4000	0.0605	0.0833
0.1244	19.91	4500	0.0831	0.1458
0.1006	22.12	5000	0.0560	0.125
0.0827	24.34	5500	0.0395	0.0833
0.0723	26.55	6000	0.0573	0.0833
0.0606	28.76	6500	0.0337	0.1042

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.12.1