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

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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