wav2vec2-base-timit-demo-colab – AI Model by rwang97 | 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: 0.4473
Wer: 0.3380

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
0.1048	4.0	500	0.4370	0.3475
0.0871	8.0	1000	0.4489	0.3405
0.0651	12.0	1500	0.4473	0.3380
0.0703	16.0	2000	0.4473	0.3380
0.0676	20.0	2500	0.4473	0.3380
0.0714	24.0	3000	0.4473	0.3380
0.0742	28.0	3500	0.4473	0.3380

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3