esm2_t6_8M_UR50D-finetuned-epitope-june-12

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5492
• Accuracy: 0.8234

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4862	0.9997	1525	0.5349	0.8208
0.47	2.0	3051	0.5110	0.8239
0.4023	2.9990	4575	0.5492	0.8234

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1