metadata

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

esm2_t12_35M_UR50D-finetuned-effector

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

Loss: 0.0752
Accuracy: 0.9782

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: 10
eval_batch_size: 10
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
No log	1.0	86	0.1708	0.9183
No log	2.0	172	0.0874	0.9782
No log	3.0	258	0.0752	0.9782

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Tokenizers 0.15.2