wav2vec2-large-mms-1b-azerbaijani-common_voice15.0 – AI Model by nijatzeynalov | AlphaNeural AI

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

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automatic-speech-recognition

generated_from_trainer

common_voice_15_0

facebook/mms-1b-all

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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