esm2_t12_35M_UR50D-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0331
• Accuracy: 0.4835

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: 10
• eval_batch_size: 10
• 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
0.042	1.0	23758	0.0388	0.4835
0.0325	2.0	47516	0.0351	0.4835
0.0259	3.0	71274	0.0331	0.4835

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1
• Datasets 2.14.3
• Tokenizers 0.13.3