wav2vec2-large-xls-r-53-mn

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.1394
• eval_wer: 1.0
• eval_runtime: 128.2387
• eval_samples_per_second: 14.629
• eval_steps_per_second: 1.833
• epoch: 1.57
• step: 200

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: 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_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.38.1
• Pytorch 2.2.1+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2