xls-r-1b-bem-fsv

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the BEMBASPEECH - BEM dataset. It achieves the following results on the evaluation set:

• Loss: 0.2680
• Wer: 0.8798

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: 5e-05
• 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: 5.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.6967	1.9194	500	0.4790	0.9860
0.1815	3.8388	1000	0.2680	0.8798

Framework versions

• Transformers 4.43.0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1