protein-lm-gb1

This model was trained from scratch on the gb1 dataset. It achieves the following results on the evaluation set:

• Loss: 4.9175
• Mse: 4.9175
• Rmse: 2.2175
• Mae: 1.9137
• R2: -0.0720
• Smape: 79.2041

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 20
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Rmse	Mae	R2	Smape
5.202	1.0	7539	4.9090	4.9090	2.2156	1.9131	-0.0702	79.1446
5.247	2.0	15078	4.9849	4.9849	2.2327	1.9185	-0.0867	79.6722
5.2129	3.0	22617	4.9175	4.9175	2.2175	1.9137	-0.0720	79.2041

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2