Mandarin_naive

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: 0.4584
• Wer: 0.3999

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
4.8963	3.67	400	1.0645	0.8783
0.5506	7.34	800	0.5032	0.5389
0.2111	11.01	1200	0.4765	0.4712
0.1336	14.68	1600	0.4815	0.4511
0.0974	18.35	2000	0.4956	0.4370
0.0748	22.02	2400	0.4881	0.4235
0.0584	25.69	2800	0.4732	0.4193
0.0458	29.36	3200	0.4584	0.3999

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0