wav2vec2-base-timit-demo-colab-1 – AI Model by zasheza | AlphaNeural AI

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wav2vec2-base-timit-demo-colab-1

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wav2vec2-base-timit-demo-colab-1

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: 0.9634
Wer: 0.4398

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: 0.0002
train_batch_size: 6
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: 800
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8991	5.26	500	1.4319	0.7522
0.8555	10.53	1000	0.7895	0.5818
0.4584	15.79	1500	0.7198	0.5211
0.3096	21.05	2000	0.7983	0.5118
0.2165	26.32	2500	0.7893	0.4745
0.163	31.58	3000	0.8779	0.4589
0.1144	36.84	3500	0.9256	0.4540
0.0886	42.11	4000	0.9184	0.4530
0.0668	47.37	4500	0.9634	0.4398

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3