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wav2vec2-large-mms-1b-azerbaijani-common_voice15.0

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_15_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3188

Wer: 0.2632

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: 0.001

train_batch_size: 16

eval_batch_size: 8

seed: 42

optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

lr_scheduler_type: linear

lr_scheduler_warmup_steps: 100

num_epochs: 15

mixed_precision_training: Native AMP

Training results

| Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 7.6471 | 2.0 | 10 | 7.6790 | 1.0658 | | 5.6745 | 4.0 | 20 | 4.2727 | 1.0088 | | 3.5016 | 6.0 | 30 | 3.1003 | 1.0 | | 2.6223 | 8.0 | 40 | 1.8137 | 1.0439 | | 1.3939 | 10.0 | 50 | 0.6549 | 0.3947 | | 0.3696 | 12.0 | 60 | 0.3665 | 0.2719 | | 0.2475 | 14.0 | 70 | 0.3188 | 0.2632 |

Framework versions

Transformers 4.35.2

Pytorch 2.1.1+cu121

Datasets 2.15.0

Tokenizers 0.15.0