This model is a fine-tuned version of facebook/mms-1b-all on common_voice_17_0's Tamil 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 "ta"

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: 0.15
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

ndeclarke/wav2vec2-mms-1b-CV17.0-training_set_variations

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

Intended uses & limitations

Training and evaluation data

Training hyperparameters

Framework versions

ndeclarke/
wav2vec2-mms-1b-CV17.0-training_set_variations