2026-02-14_CAFA6_classification_Rostlab_prot_bert_v1

This model is a fine-tuned version of Kelmoir/2026-02-14_CAFA6_classification_Rostlab_prot_bert_v1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0016

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.05
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0018	1.0	430	0.0016
0.0016	2.0	860	0.0016
0.0016	3.0	1290	0.0016
0.0016	4.0	1720	0.0016

Framework versions

• Transformers 5.0.0
• Pytorch 2.9.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2