Bert-Sentiment-Fa

farshadafx/Bert-Sentiment-Fa

Bert-Sentiment-Fa is a text classification model from farshadafx. 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 18, 2023
Updated: Oct 18, 2023
SHA: e35477d0

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Base models

HooshvareLab/bert-fa-base-uncased

Model card

From the Hugging Face model README

Bert-Sentiment-Fa

This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased on the Neshan Sentiment dataset. It achieves the following results on the evaluation set:

Loss: 0.4558
Accuracy: 0.8549
F1: 0.7877

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-06
train_batch_size: 16
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	143	0.6143	0.8078	0.6887
No log	2.0	286	0.4310	0.8392	0.7556
No log	3.0	429	0.4002	0.8627	0.8037
0.5214	4.0	572	0.3933	0.8588	0.7984
0.5214	5.0	715	0.4046	0.8588	0.7945
0.5214	6.0	858	0.4169	0.8588	0.7990
0.2054	7.0	1001	0.4345	0.8549	0.7848
0.2054	8.0	1144	0.4277	0.8627	0.8001
0.2054	9.0	1287	0.4509	0.8588	0.7918
0.2054	10.0	1430	0.4558	0.8549	0.7877

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 18, 2023
Updated: Oct 18, 2023