esm2_t6_8M_UR50D-finetuned-localization

scdunne/esm2_t6_8M_UR50D-finetuned-localization

esm2_t6_8M_UR50D-finetuned-localization is a text classification model from scdunne. 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 20, 2023
Updated: Apr 20, 2023
SHA: 385317a6

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Model card

From the Hugging Face model README

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: 0.0064
R Squared: 0.882

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	R Squared
0.0023	1.0	1504	0.0075	0.862
0.0018	2.0	3008	0.0064	0.882
0.0008	3.0	4512	0.0064	0.882

Framework versions

Transformers 4.28.1
Pytorch 1.12.1
Datasets 2.11.0
Tokenizers 0.11.0

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Apr 20, 2023
Updated: Apr 20, 2023