esm2_t33_650M_UR50D-crystallization-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3861
• F1: 0.6470

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.422	1.0	2129	0.4366	0.6756
0.2425	2.0	4258	0.6942	0.6487
0.0993	3.0	6387	1.0293	0.6518
0.0535	4.0	8516	1.1326	0.6286
0.0422	5.0	10645	1.1957	0.6240
0.0268	6.0	12774	1.1728	0.6468
0.004	7.0	14903	1.3099	0.6563
0.0001	8.0	17032	1.3316	0.6489
0.0035	9.0	19161	1.3720	0.6484
0.0019	10.0	21290	1.3861	0.6470

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.3