XLSR_Fine_Tuned_Urdu_V2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.8023
• Wer: 0.4382

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: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.424	3.25	1000	2.9777	1.0
1.4315	6.49	2000	0.8493	0.5896
0.6938	9.74	3000	0.7438	0.4978
0.5129	12.99	4000	0.7480	0.4785
0.4133	16.23	5000	0.7568	0.4600
0.3496	19.48	6000	0.7387	0.4471
0.3133	22.73	7000	0.7655	0.4426
0.2767	25.97	8000	0.8081	0.4530
0.2581	29.22	9000	0.8023	0.4382

Framework versions

• Transformers 4.21.0
• Pytorch 1.11.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1