wav2vec2-16 – AI Model by chrisvinsen | AlphaNeural AI

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chrisvinsen/
wav2vec2-16

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wav2vec2-16

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: 3.1016
Wer: 1.0

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: 0.001
train_batch_size: 32
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: 400
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.6682	1.37	200	3.3138	1.0
2.8751	2.74	400	2.9984	1.0
2.8697	4.11	600	3.0827	1.0
2.866	5.48	800	3.0697	1.0
2.8655	6.85	1000	3.1083	1.0
2.8629	8.22	1200	3.0888	1.0
2.8651	9.59	1400	3.2852	1.0
2.8601	10.96	1600	3.1155	1.0
2.8617	12.33	1800	3.1958	1.0
2.8595	13.7	2000	3.1070	1.0
2.858	15.07	2200	3.1483	1.0
2.8564	16.44	2400	3.0906	1.0
2.8561	17.81	2600	3.1412	1.0
2.8574	19.18	2800	3.0783	1.0
2.8543	20.55	3000	3.0624	1.0
2.8549	21.92	3200	3.0914	1.0
2.8556	23.29	3400	3.0735	1.0
2.8557	24.66	3600	3.1791	1.0
2.8576	26.03	3800	3.0645	1.0
2.8528	27.4	4000	3.1190	1.0
2.8551	28.77	4200	3.1016	1.0

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1