esm2_t30_150M_UR50D-finetuned-effector

This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5082
• Accuracy: 0.7858

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.551	1.0	649	0.5039	0.7428
0.4832	2.0	1298	0.4989	0.7509
0.4485	3.0	1947	0.5181	0.7716

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Tokenizers 0.15.2