esm2_t33_650M_UR50D-uniprot-7class-uniprot-7class

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1818
• Accuracy: 0.9593

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
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• 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	Accuracy
No log	0.9846	4	0.3113	0.9244
No log	1.9692	8	0.2729	0.9244
No log	2.9538	12	0.2448	0.9360
No log	3.9385	16	0.2138	0.9477
No log	4.9231	20	0.1997	0.9651
No log	5.9077	24	0.1934	0.9593
No log	6.8923	28	0.1901	0.9593
No log	7.8769	32	0.1847	0.9593
No log	8.8615	36	0.1824	0.9593
No log	9.8462	40	0.1818	0.9593

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1