XLSR_Fine_Tuned_URDU

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: 0.8115
• Wer: 0.4815

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
6.7221	3.25	1000	3.0131	0.9985
1.6219	6.49	2000	0.9179	0.6336
0.7747	9.74	3000	0.7975	0.5804
0.5796	12.99	4000	0.7820	0.5524
0.4672	16.23	5000	0.8220	0.5317
0.4002	19.48	6000	0.8080	0.5107
0.3587	22.73	7000	0.7889	0.4926
0.3192	25.97	8000	0.8137	0.4875
0.3	29.22	9000	0.8115	0.4815

Framework versions

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