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