English_ASR – AI Model by maher13 | AlphaNeural AI

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maher13/
English_ASR

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English_ASR

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: 0.4971
Wer: 0.3397

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
3.3432	4.0	500	1.1711	0.7767
0.5691	8.0	1000	0.4613	0.4357
0.2182	12.0	1500	0.4715	0.3853
0.1267	16.0	2000	0.4307	0.3607
0.0846	20.0	2500	0.4971	0.3537
0.0608	24.0	3000	0.4712	0.3419
0.0457	28.0	3500	0.4971	0.3397

Framework versions

Transformers 4.11.3
Pytorch 1.9.1
Datasets 1.13.3
Tokenizers 0.10.3