wav2vec2-large-xlsr-53_full_train_full_train

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8369
• Wer: 0.5052

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.533	1.35	1000	0.3547	0.3483
0.4531	2.69	2000	0.8369	0.5052

Framework versions

• Transformers 4.19.0
• Pytorch 1.11.0+cu102
• Datasets 2.2.1
• Tokenizers 0.12.1