metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: facebook/esm2_t6_8M_UR50D
model-index:
  - name: esm2_t6_8M_UR50D-finetuned-localization
    results: []

esm2_t6_8M_UR50D-finetuned-localization

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: 0.1416
Accuracy: 0.9699

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
0.1479	1.0	4122	0.1719	0.9586
0.1035	2.0	8244	0.1460	0.9660
0.0755	3.0	12366	0.1416	0.9699

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.2