metadata

license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
  - generated_from_trainer
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:

eval_loss: 0.2182
eval_accuracy: 0.9345
eval_runtime: 1227.8079
eval_samples_per_second: 1.045
eval_steps_per_second: 0.131
epoch: 1.0
step: 482

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

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2