my_final_wav2vec2-urdu-asr-project – AI Model by Raffay | AlphaNeural AI

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my_final_wav2vec2-urdu-asr-project

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my_final_wav2vec2-urdu-asr-project

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.4680
Wer: 1.0

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: 0.0003
train_batch_size: 4
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: 400
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.8981	1.41	200	5.5809	1.0
5.254	2.82	400	5.4720	1.0
5.2209	4.23	600	5.4862	1.0
5.256	5.63	800	5.4716	1.0
5.1244	7.04	1000	5.4912	1.0
5.0641	8.45	1200	5.4797	1.0
5.0923	9.86	1400	5.5290	1.0
5.0166	11.27	1600	5.4722	1.0
5.1251	12.68	1800	5.4690	1.0
5.0201	14.08	2000	5.4684	1.0
5.1285	15.49	2200	5.4745	1.0
5.0853	16.9	2400	5.4734	1.0
5.0112	18.31	2600	5.4668	1.0
5.0372	19.72	2800	5.4680	1.0

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.12.1