esm2_t33_650M_UR50D-finetuned-localization

vadams2327/esm2_t33_650M_UR50D-finetuned-localization

esm2_t33_650M_UR50D-finetuned-localization is a text classification model from vadams2327. 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: Jul 11, 2024
Updated: Jul 22, 2024
SHA: cda68bb4

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Base models

facebook/esm2_t33_650M_UR50D

Model card

From the Hugging Face model README

esm2_t33_650M_UR50D-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4879
Accuracy: 0.8571

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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	35	0.8073	0.3143
No log	2.0	70	0.5859	0.8286
No log	3.0	105	0.4817	0.8
No log	4.0	140	0.4902	0.8
No log	5.0	175	0.4879	0.8571

Framework versions

Transformers 4.42.4
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Jul 11, 2024
Updated: Jul 22, 2024