wav2vec2-base-timit-demo-colab – AI Model by deepdml | 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: 0.4798
Wer: 0.3474

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
3.5229	4.0	500	1.6557	1.0422
0.6618	8.0	1000	0.4420	0.4469
0.2211	12.0	1500	0.4705	0.4002
0.1281	16.0	2000	0.4347	0.3688
0.0868	20.0	2500	0.4653	0.3590
0.062	24.0	3000	0.4747	0.3519
0.0472	28.0	3500	0.4798	0.3474

Framework versions

Transformers 4.15.0
Pytorch 1.9.0+cu102
Datasets 1.17.0
Tokenizers 0.10.3