bilalahmed15/Urdu_repo

wav2vec2-large-xls-r-300m-turkish-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.7532
• Wer: 0.4020

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.9542	1.96	400	1.5737	0.8827
0.8596	3.92	800	0.7296	0.5696
0.4729	5.88	1200	0.6004	0.4934
0.3364	7.84	1600	0.5776	0.4656
0.2684	9.8	2000	0.6178	0.4563
0.2143	11.76	2400	0.6408	0.4690
0.1744	13.72	2800	0.6704	0.4573
0.1458	15.68	3200	0.7015	0.4484
0.1201	17.65	3600	0.7151	0.4228
0.104	19.61	4000	0.7123	0.4195
0.0887	21.57	4400	0.7102	0.4234
0.0807	23.53	4800	0.7561	0.4132
0.0697	25.49	5200	0.7435	0.4075
0.0611	27.45	5600	0.7465	0.4034
0.0556	29.41	6000	0.7532	0.4020

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1