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YAML Metadata Error:"language[0]" with value "hy-AM" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

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

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Evaluation results

Test WER on Common Voice 7
self-reported

101.627
Test CER on Common Voice 7
self-reported

158.767