esm2_t12_35M_UR50D-finetuned-effector

dariader/esm2_t12_35M_UR50D-finetuned-effector

esm2_t12_35M_UR50D-finetuned-effector is a text classification model from dariader. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: esm
Access: Public
Created: Apr 5, 2024
Updated: May 1, 2024
SHA: 1effeff7

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Base models

facebook/esm2_t12_35M_UR50D

Model card

From the Hugging Face model README

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

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Apr 5, 2024
Updated: May 1, 2024