robert_base_fine_tuned_emotion_dataset

ArafatBHossain/robert_base_fine_tuned_emotion_dataset

robert_base_fine_tuned_emotion_dataset is a text classification model from ArafatBHossain. 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: Oct 14, 2022
Updated: Oct 14, 2022
SHA: d583dce2

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Model card

From the Hugging Face model README

robert_base_fine_tuned_emotion_dataset

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

Loss: 0.1996
Accuracy: 0.936

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3438	1.0	2000	0.3140	0.921
0.1911	2.0	4000	0.1947	0.9315
0.1348	3.0	6000	0.1996	0.936

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Oct 14, 2022
Updated: Oct 14, 2022