cnnroberta

Rasmy/cnnroberta

cnnroberta is a text classification model from Rasmy. 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: Dec 25, 2024
Updated: Dec 25, 2024
SHA: 372cf96d

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Base models

Model card

From the Hugging Face model README

cnnroberta

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

Loss: 0.7735
F1: 0.0
Precision: 0.0
Recall: 0.0
Accuracy: 0.7446

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5531	1.0	583	0.7817	0.7332
0.5727	2.0	1166	0.6993	0.7660
0.5215	3.0	1749	0.7671	0.7416
0.4454	4.0	2332	0.7735	0.7446

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Dec 25, 2024
Updated: Dec 25, 2024