wav2vec2-base-timit-demo-colab – AI Model by mictiong85 | 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: 0.4635
Wer: 0.3357

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
3.6808	4.0	500	1.5478	1.0481
0.835	8.0	1000	0.4611	0.4703
0.3013	12.0	1500	0.4327	0.3887
0.1741	16.0	2000	0.4073	0.3677
0.1309	20.0	2500	0.4306	0.3595
0.1097	24.0	3000	0.4318	0.3475
0.0825	28.0	3500	0.4635	0.3357

Framework versions

Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3