wav2vec2-base-timit-demo-colab – AI Model by obokkkk | AlphaNeural AI

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wav2vec2-base-timit-demo-colab

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wav2vec2-base-timit-demo-colab

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: 0.4779
Wer: 0.3468

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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4408	4.0	500	1.2302	0.9116
0.561	8.0	1000	0.4809	0.4320
0.2091	12.0	1500	0.4285	0.3880
0.1221	16.0	2000	0.4448	0.3665
0.0858	20.0	2500	0.4622	0.3585
0.0597	24.0	3000	0.4621	0.3517
0.0453	28.0	3500	0.4779	0.3468

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3