wav2vec2-base-timit-demo-colab – AI Model by testimonial | 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: 0.4688
Wer: 0.3417

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
3.4156	4.0	500	1.2721	0.8882
0.6145	8.0	1000	0.4712	0.4510
0.229	12.0	1500	0.4459	0.3847
0.1312	16.0	2000	0.4739	0.3786
0.0897	20.0	2500	0.4483	0.3562
0.0608	24.0	3000	0.4450	0.3502
0.0456	28.0	3500	0.4688	0.3417

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3