wav2vec2-base-timit-demo-colab_2 – AI Model by fahadtouseef | AlphaNeural AI

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wav2vec2-base-timit-demo-colab_2

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wav2vec2-base-timit-demo-colab_2

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: 0.3801
Wer: 0.3035

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: 16
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
4.7227	3.52	500	2.6961	1.0
1.1237	7.04	1000	0.6088	0.5315
0.4886	10.56	1500	0.4709	0.4353
0.3148	14.08	2000	0.4341	0.3942
0.2229	17.61	2500	0.4035	0.3616
0.1693	21.13	3000	0.3868	0.3289
0.1393	24.65	3500	0.3993	0.3135
0.118	28.17	4000	0.3801	0.3035

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3