MC_proteome_literature_classification_balanced

seven-wind-c/MC_proteome_literature_classification_balanced

MC_proteome_literature_classification_balanced is a multiple choice model from seven-wind-c. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: multiple choice
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 10, 2023
Updated: Aug 11, 2023
SHA: e83d719c

Base models

Model card

From the Hugging Face model README

MC_proteome_literature_classification_balanced

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9679
Accuracy: 0.4494

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
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	263	2.0873	0.3483
1.9438	2.0	526	1.9461	0.4157
1.9438	3.0	789	1.9642	0.4382
1.5822	4.0	1052	3.0854	0.4270
1.5822	5.0	1315	2.9679	0.4494

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: multiple choice
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 10, 2023
Updated: Aug 11, 2023