wav2vec2-base-timit-demo-colab-32-epochs50-earlystop – AI Model by ying-tina | AlphaNeural AI

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wav2vec2-base-timit-demo-colab-32-epochs50-earlystop

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wav2vec2-base-timit-demo-colab-32-epochs50-earlystop

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: 0.5208
Wer: 0.3561

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: 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: 1000
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4294	4.0	500	1.3397	0.8966
0.5848	8.0	1000	0.4931	0.4585
0.2323	12.0	1500	0.4781	0.4008
0.14	16.0	2000	0.4294	0.3806
0.1026	20.0	2500	0.5098	0.3663
0.0725	24.0	3000	0.4527	0.3568
0.058	28.0	3500	0.5208	0.3561

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3