prot_bert-finetuned-sp6

This model is a fine-tuned version of Rostlab/prot_bert on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4070

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5027	1.0	164	0.4666
0.3927	2.0	328	0.4328
0.3348	3.0	492	0.4072

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.10.3