wav2vec2-base-960h-demo-google-colab – AI Model by St4n | AlphaNeural AI

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wav2vec2-base-960h-demo-google-colab

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facebook/wav2vec2-base-960h

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wav2vec2-base-960h-demo-google-colab

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1495
Wer: 0.1503

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: 16
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.7708	0.42	200	3.3194	0.9999
3.0354	0.84	400	3.1933	0.9999
2.796	1.26	600	1.4082	0.7669
1.0912	1.68	800	0.8231	0.3675
0.6568	2.1	1000	0.3944	0.2863
0.4604	2.52	1200	0.3303	0.2421
0.3932	2.94	1400	0.2730	0.2103
0.3356	3.35	1600	0.2189	0.1789
0.3117	3.77	1800	0.2189	0.1688
0.2332	4.19	2000	0.1802	0.1563
0.2283	4.61	2200	0.1495	0.1503

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1