wav2vec2-base-timit-demo-colab7 – AI Model by hassnain | AlphaNeural AI

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wav2vec2-base-timit-demo-colab7

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wav2vec2-base-timit-demo-colab7

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: 1.1687
Wer: 0.6478

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: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8409	7.04	500	3.1487	1.0
2.6259	14.08	1000	1.5598	0.8730
1.083	21.13	1500	1.0600	0.7347
0.6061	28.17	2000	1.0697	0.7006
0.4022	35.21	2500	1.0617	0.6913
0.2884	42.25	3000	1.1962	0.6768
0.225	49.3	3500	1.1753	0.6567
0.1852	56.34	4000	1.1687	0.6478

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3