mango-32-0.00002-10-fin

bella05/mango-32-0.00002-10-fin

mango-32-0.00002-10-fin is a text classification model from bella05. Use it when you need a label for a piece of text. It is set up for transformers.

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

Downloads · 30 days

1% of all-time downloads

All-time downloads

256

Public

Repo size

8.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Jun 13, 2024
Updated: Jun 13, 2024
SHA: 5264aee8

Try a prompt

Base models

klue/roberta-large

Model card

From the Hugging Face model README

mango-32-0.00002-10-fin

This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.5883
Accuracy: 0.6357
F1: 0.6324

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: 64
eval_batch_size: 64
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	Accuracy	F1
No log	1.0	233	1.7759	0.6095	0.6127
No log	2.0	466	1.8463	0.6030	0.5997
0.1567	3.0	699	1.8531	0.6297	0.6194
0.1567	4.0	932	2.0262	0.6183	0.6180
0.11	5.0	1165	2.1822	0.6167	0.6193
0.11	6.0	1398	2.3360	0.6380	0.6294
0.0622	7.0	1631	2.3473	0.6312	0.6286
0.0622	8.0	1864	2.5031	0.6319	0.6283
0.0294	9.0	2097	2.5552	0.6359	0.6315
0.0294	10.0	2330	2.5883	0.6357	0.6324

Framework versions

Transformers 4.34.1
Pytorch 2.1.0a0+b5021ba
Datasets 2.6.2
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: roberta
Created: Jun 13, 2024
Updated: Jun 13, 2024