wav2vec2-base-timit-demo-colab6 – AI Model by hassnain | AlphaNeural AI

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wav2vec2-base-timit-demo-colab6

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wav2vec2-base-timit-demo-colab6

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: 0.9394
Wer: 0.5282

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: 8
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: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.3117	7.35	500	3.1548	1.0
1.6732	14.71	1000	0.8857	0.6561
0.5267	22.06	1500	0.7931	0.6018
0.2951	29.41	2000	0.8152	0.5816
0.2013	36.76	2500	0.9060	0.5655
0.1487	44.12	3000	0.9201	0.5624
0.1189	51.47	3500	0.9394	0.5412
0.1004	58.82	4000	0.9394	0.5282

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3