wav2vec2-mms-1b-ikk-1

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

• eval_loss: 1.3341
• eval_wer: 0.5501
• eval_runtime: 12.2842
• eval_samples_per_second: 7.978
• eval_steps_per_second: 1.058
• epoch: 7.42
• step: 240

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 6
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2