wav2vec2_Indonesia_6

This model is a fine-tuned version of facebook/wav2vec2-base-100h on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 1.7559
• Wer: 1.0232

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
3.1807	3.23	400	1.3655	1.0052
0.5608	6.45	800	1.3604	1.0312
0.3302	9.68	1200	1.3724	1.0355
0.2405	12.9	1600	1.4350	1.0142
0.1883	16.13	2000	1.5079	1.0213
0.1535	19.35	2400	1.5038	1.0251
0.1307	22.58	2800	1.7026	1.0189
0.1104	25.81	3200	1.7072	1.0090
0.0921	29.03	3600	1.7559	1.0232

Framework versions

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