wav2vec2-large-xls-r-300m-it-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.1660
• Wer: 0.1648

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.5632	3.19	1000	0.2289	0.2470
0.1489	6.39	2000	0.1799	0.1877
0.0803	9.58	3000	0.1660	0.1648

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.2.1
• Tokenizers 0.12.1