wav2vec2-large-xls-r-300m-armenian

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HY-AM dataset. It achieves the following results on the evaluation set:

• Loss: 0.9669
• Wer: 0.6942

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: 32
• eval_batch_size: 32
• 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: 200.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.7294	27.78	500	0.8540	0.9944
0.8863	55.56	1000	0.7282	0.7312
0.5789	83.33	1500	0.8178	0.8102
0.3899	111.11	2000	0.8034	0.7701
0.2869	138.89	2500	0.9061	0.6999
0.1934	166.67	3000	0.9400	0.7105
0.1551	194.44	3500	0.9667	0.6955

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.11.0