roberta_comp

gustavecortal/roberta_comp

roberta_comp is a text classification model from gustavecortal. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

343

Public

Repo size

997 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin499 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Dec 23, 2022
Updated: Dec 23, 2022
SHA: 1c90e87f

Try a prompt

Model card

From the Hugging Face model README

roberta_comp

This model is a fine-tuned version of ibm/ColD-Fusion on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3066
F1: 0.8077
Roc Auc: 0.8650
Accuracy: 0.5765
Recall: 0.8105

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy	Recall
No log	1.0	231	0.3455	0.7594	0.8284	0.5306	0.7474
No log	2.0	462	0.2986	0.7986	0.8569	0.5714	0.7930
0.3143	3.0	693	0.3006	0.8056	0.8632	0.5867	0.8070
0.3143	4.0	924	0.3066	0.8077	0.8650	0.5765	0.8105
0.1365	5.0	1155	0.3117	0.8028	0.8618	0.5663	0.8070

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+rocm5.2
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Dec 23, 2022
Updated: Dec 23, 2022