english-filipino-wav2vec2-l-xls-r-test-09

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

• Loss: 1.0054
• Wer: 0.5750

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: 0.002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.001	2.09	400	1.3499	0.9595
0.8606	4.19	800	0.8159	0.6942
0.5819	6.28	1200	0.7372	0.6700
0.4751	8.38	1600	0.7310	0.6405
0.3777	10.47	2000	0.7841	0.6414
0.2918	12.57	2400	0.7898	0.5951
0.2209	14.66	2800	0.8558	0.5751
0.1671	16.75	3200	0.9881	0.5979
0.129	18.85	3600	1.0054	0.5750

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3