wav2vec2_test – AI Model by snehatyagi | AlphaNeural AI

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wav2vec2_test

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wav2vec2_test

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: 91.1661
Wer: 0.5714

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: 100
num_epochs: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
11.9459	100.0	100	46.9901	1.0
3.2175	200.0	200	73.0950	1.0
1.8117	300.0	300	78.4884	0.6735
1.3694	400.0	400	84.0168	0.6327
1.1392	500.0	500	85.2083	0.5918
0.979	600.0	600	88.9109	0.5918
0.8917	700.0	700	89.0310	0.5918
0.8265	800.0	800	90.0659	0.6122
0.769	900.0	900	91.8476	0.5714
0.7389	1000.0	1000	91.1661	0.5714

Framework versions

Transformers 4.17.0
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.6