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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