wav2vec2-large-xls-r-300m-slovenian

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: 0.4462
• Wer: 0.3271

Training procedure

Training Hyper-parameters

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: 20

Training Results

Training Loss	Epoch	Step	Validation Loss	Wer
4.3681	4.93	400	0.7067	0.6486
0.2311	9.87	800	0.5155	0.4341
0.0833	14.81	1200	0.4996	0.3799
0.0455	19.75	1600	0.4462	0.3271

Framework Versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3