wav2vec2-large-xls-r-300m-Indonesian

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: 0.4087
• Wer: 0.2461
• Cer: 0.0666

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 400
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
5.0788	4.26	200	2.9389	1.0	1.0
2.8288	8.51	400	2.2535	1.0	0.8004
0.907	12.77	600	0.4558	0.4243	0.1095
0.4071	17.02	800	0.4013	0.3468	0.0913
0.3	21.28	1000	0.4167	0.3075	0.0816
0.2544	25.53	1200	0.4132	0.2835	0.0762
0.2145	29.79	1400	0.3878	0.2693	0.0729
0.1923	34.04	1600	0.4023	0.2623	0.0702
0.1681	38.3	1800	0.3984	0.2581	0.0686
0.1598	42.55	2000	0.3982	0.2493	0.0663
0.1464	46.81	2200	0.4087	0.2461	0.0666

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.2.dev0
• Tokenizers 0.11.0