esm2_t6_8M_UR50D-finetuned-localization

ranjman/esm2_t6_8M_UR50D-finetuned-localization

esm2_t6_8M_UR50D-finetuned-localization is a text classification model from ranjman. 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: Feb 28, 2023
Updated: Nov 16, 2023
SHA: c2e230d0

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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: 0.5149
Accuracy: 0.7883

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
0.5377	1.0	1238	0.5221	0.7959
0.5064	2.0	2476	0.5234	0.7741
0.4695	3.0	3714	0.5149	0.7883

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Feb 28, 2023
Updated: Nov 16, 2023