roberta-base_ag_news2

sacasdcdacadcf/roberta-base_ag_news2

roberta-base_ag_news2 is a text classification model from sacasdcdacadcf. 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: roberta
Access: Public
Created: Apr 19, 2024
Updated: Apr 19, 2024
SHA: e84be5b3

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Base models

Model card

From the Hugging Face model README

roberta-base_ag_news2

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

Loss: 0.3846

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.3506	1.0	375	0.3879
0.3511	2.0	750	0.3846
0.2484	3.0	1125	0.4752
0.1336	4.0	1500	0.4913
0.0565	5.0	1875	0.5226

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Apr 19, 2024
Updated: Apr 19, 2024