distil-tis

paola-md/distil-tis

distil-tis is a text classification model from paola-md. Use it when you need a label for a piece of text. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

565

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin334 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Aug 25, 2022
Updated: Aug 25, 2022
SHA: 253a260a

Try a prompt

Model card

From the Hugging Face model README

distil-tis

This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6061
Rmse: 0.7785
Mse: 0.6061
Mae: 0.6003

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse	Mse	Mae
0.7173	1.0	492	0.7060	0.8403	0.7060	0.5962
0.5955	2.0	984	0.6585	0.8115	0.6585	0.5864
0.5876	3.0	1476	0.6090	0.7804	0.6090	0.6040
0.5871	4.0	1968	0.6247	0.7904	0.6247	0.5877
0.5871	5.0	2460	0.6061	0.7785	0.6061	0.6003

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.9.0+cu111
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Aug 25, 2022
Updated: Aug 25, 2022