wav2vec2-base-timit-demo-colab – AI Model by radhakri119 | 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: 0.4780
Wer: 0.3403

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
3.5299	4.0	500	1.5195	0.9991
0.6229	8.0	1000	0.4447	0.4282
0.2136	12.0	1500	0.4154	0.3764
0.1196	16.0	2000	0.4394	0.3597
0.0834	20.0	2500	0.4891	0.3619
0.0591	24.0	3000	0.4535	0.3439
0.0448	28.0	3500	0.4780	0.3403

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3