esm2_t12_35M_UR50D-finetuned-epitope

ambrim/esm2_t12_35M_UR50D-finetuned-epitope

esm2_t12_35M_UR50D-finetuned-epitope is a token classification model from ambrim. Use it when you need labels on individual words, such as names. 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: Token Classification
Library: transformers
License: mit
Model type: esm
Access: Public
Created: Nov 24, 2023
Updated: Nov 25, 2023
SHA: 0d3b43ac

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Base models

facebook/esm2_t12_35M_UR50D

Model card

From the Hugging Face model README

esm2_t12_35M_UR50D-finetuned-epitope

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: 0.1610
Accuracy: 0.9600

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: 0.0001
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	57	0.1680	0.9591
No log	2.0	114	0.1610	0.9600
No log	3.0	171	0.1612	0.9595

Framework versions

Transformers 4.32.1
Pytorch 2.1.1+cu121
Datasets 2.12.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: esm
License: mit
Created: Nov 24, 2023
Updated: Nov 25, 2023