wav2vec2-xls-r-300m-Br-small

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: 1.0573
• Wer: 0.6675

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
5.7464	2.79	400	1.7474	1.1018
1.1117	5.59	800	0.9434	0.8697
0.6481	8.39	1200	0.9251	0.7910
0.4754	11.19	1600	0.9208	0.7412
0.3602	13.98	2000	0.9284	0.7232
0.2873	16.78	2400	0.9299	0.6940
0.2386	19.58	2800	1.0182	0.6927
0.1971	22.38	3200	1.0456	0.6898
0.1749	25.17	3600	1.0208	0.6769
0.1487	27.97	4000	1.0573	0.6675

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3