esm2_t12_35M_UR50D-finetuned-finetuned

This model is a fine-tuned version of glenn2/esm2_t12_35M_UR50D-finetuned on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1851
• Accuracy: 0.9212

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
0.1896	1.0	239134	0.1923	0.9199
0.1911	2.0	478268	0.1898	0.9204
0.1867	3.0	717402	0.1851	0.9212

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3