roberta-base-Dep

Trong-Nghia/roberta-base-Dep

roberta-base-Dep is a text classification model from Trong-Nghia. 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: Jun 29, 2023
Updated: Jul 1, 2023
SHA: e15e400c

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Model card

From the Hugging Face model README

roberta-base-Dep

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

Loss: 0.3838
Accuracy: 0.8383
F1: 0.9031

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-06
train_batch_size: 16
eval_batch_size: 16
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	Accuracy	F1
No log	1.0	235	0.3545	0.8567	0.9196
No log	2.0	470	0.3505	0.8567	0.9183
0.388	3.0	705	0.4525	0.78	0.8608
0.388	4.0	940	0.3853	0.83	0.8976
0.3048	5.0	1175	0.3838	0.8383	0.9031

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jun 29, 2023
Updated: Jul 1, 2023