metadata

license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: esm2_t12_35M_UR50D-finetuned-epitope_100k
    results: []

esm2_t12_35M_UR50D-finetuned-epitope_100k

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: 0.1299
Accuracy: 0.9696

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: 6
eval_batch_size: 6
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
0.1306	1.0	10312	0.1316	0.9695
0.128	2.0	20624	0.1299	0.9696
0.1223	3.0	30936	0.1306	0.9695

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0