metadata

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

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: 0.5426
Accuracy: 0.7456

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
0.5708	1.0	625	0.5221	0.74
0.5012	2.0	1250	0.5482	0.7424
0.4874	3.0	1875	0.5426	0.7456

Framework versions

Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1