esm2_t12_35M_UR50D-finetuned-localization

Juny2312/esm2_t12_35M_UR50D-finetuned-localization

esm2_t12_35M_UR50D-finetuned-localization is a text classification model from Juny2312. 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: Aug 10, 2023
Updated: Aug 15, 2023
SHA: 4e03e3a6

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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 the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1013
Accuracy: 0.6667

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	3.2522	0.6667
No log	2.0	2	3.2250	0.6667
No log	3.0	3	3.1998	0.6667
No log	4.0	4	3.1758	0.6667
No log	5.0	5	3.1550	0.6667
No log	6.0	6	3.1375	0.6667
No log	7.0	7	3.1232	0.6667
No log	8.0	8	3.1123	0.6667
No log	9.0	9	3.1050	0.6667
No log	10.0	10	3.1013	0.6667

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Aug 10, 2023
Updated: Aug 15, 2023