esm2_t12_35M_UR50D-finetuned-localization

Darren628/esm2_t12_35M_UR50D-finetuned-localization

esm2_t12_35M_UR50D-finetuned-localization is a text classification model from Darren628. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

424

Public

Repo size

680 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin136 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: esm
Access: Public
Created: Mar 7, 2023
Updated: Mar 8, 2023
SHA: b63d4870

Try a prompt

Model card

From the Hugging Face model README

esm2_t12_35M_UR50D-finetuned-localization

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: 0.2028
Accuracy: 0.9425

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
No log	1.0	476	0.2152	0.9386
0.2324	2.0	952	0.2028	0.9425
0.1416	3.0	1428	0.2161	0.9417

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Mar 7, 2023
Updated: Mar 8, 2023