wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2092
• Wer: 0.0568
• Cer: 0.0478

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: 0.0002
• 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_ratio: 0.1
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.5593	1.0	2007	0.3037	0.0790	0.0647
0.3965	2.0	4014	0.2326	0.0634	0.0531
0.2894	3.0	6021	0.2092	0.0568	0.0478

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1
• Datasets 2.18.1.dev0
• Tokenizers 0.15.2