xls-r-fleurs_nl-run4

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the FLEURS (nl) dataset. It achieves the following results:

• Wer (Validation): 42.94%
• Wer (Test): 43.74%

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer (Train)
0.1216	1.55	100	0.5803	0.4294
0.0775	3.1	200	0.6325	0.4420
0.0705	4.65	300	0.6473	0.4606

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3