wav2vec2-mms-1b-CV17.0-training_set_variations_yoruba

This model is a fine-tuned version of facebook/mms-1b-all on common_voice_17_0's Yoruba dataset. Several adapters were trained with different training set sizes. The intention was to test the improvement in performance as the quantity of training data increased. This model should not be used to perform STT tasks.

Intended uses & limitations

Testing purposes only. This is not intended as an STT solution.

Training and evaluation data

common_voice_17_0 "yo"

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 2000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1