b30-wav2vec2-large-xls-r-romansh-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2906
• Wer: 0.2047

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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
6.1887	3.05	400	2.9441	1.0
2.3896	6.11	800	0.5913	0.5021
0.368	9.16	1200	0.3131	0.2834
0.1647	12.21	1600	0.2876	0.2531
0.1111	15.27	2000	0.2965	0.2494
0.0831	18.32	2400	0.2891	0.2264
0.0688	21.37	2800	0.2970	0.2259
0.0551	24.43	3200	0.2867	0.2075
0.0447	27.48	3600	0.2906	0.2047

Framework versions

• Transformers 4.26.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3