esm2_t6_8M_UR50D_56623521

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: 0.3709
• Accuracy: 0.8564

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	147	0.4648	0.8231
No log	2.0	294	0.3982	0.8308
No log	3.0	441	0.3749	0.8462
0.4612	4.0	588	0.3731	0.8487
0.4612	5.0	735	0.3709	0.8564

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1.post103
• Datasets 3.1.0
• Tokenizers 0.20.4