esm2_t30_150M_UR50D-crystallization-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.4161
• F1: 0.5994

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: 8
• eval_batch_size: 8
• 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
0.3948	1.0	1065	0.3929	0.6516
0.2678	2.0	2130	0.4647	0.6237
0.1524	3.0	3195	0.6984	0.6356
0.072	4.0	4260	0.9448	0.6312
0.0341	5.0	5325	1.1157	0.6099
0.0145	6.0	6390	1.2051	0.6144
0.0079	7.0	7455	1.3259	0.6149
0.007	8.0	8520	1.3418	0.6008
0.0027	9.0	9585	1.3921	0.6001
0.0014	10.0	10650	1.4161	0.5994

Framework versions

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