b27-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: 0.2896
• Wer: 0.2145

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
6.1477	3.05	400	2.9469	1.0
2.517	6.11	800	0.6751	0.5710
0.4148	9.16	1200	0.3380	0.3111
0.1785	12.21	1600	0.2989	0.2620
0.1206	15.27	2000	0.3111	0.2601
0.0878	18.32	2400	0.3047	0.2361
0.0746	21.37	2800	0.2884	0.2359
0.0591	24.43	3200	0.2962	0.2189
0.05	27.48	3600	0.2896	0.2145

Framework versions

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