rut5-base-phonetic

This model is a fine-tuned version of NancyBlack/rut5-base-phonetic on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0362

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
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0153	0.3582	500	0.0354
0.0137	0.7163	1000	0.0358
0.0115	1.0745	1500	0.0379
0.0085	1.4327	2000	0.0362

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Tokenizers 0.20.3