wav2vec2-large-xls-r-300m-basaa-cv8

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - BAS dataset. It achieves the following results on the evaluation set:

• Loss: 0.4648
• Wer: 0.5472

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: 7e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.9421	12.82	500	2.8894	1.0
1.1872	25.64	1000	0.6688	0.7460
0.8894	38.46	1500	0.4868	0.6516
0.769	51.28	2000	0.4960	0.6507
0.6936	64.1	2500	0.4781	0.5384
0.624	76.92	3000	0.4643	0.5430
0.5966	89.74	3500	0.4530	0.5591

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.18.3
• Tokenizers 0.11.0