Bert-Sentiment-Fa

SeyedHosseini360/Bert-Sentiment-Fa

Bert-Sentiment-Fa is a machine learning model from SeyedHosseini360. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Sep 15, 2024
Updated: Sep 15, 2024
SHA: 0508dd7a

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 None dataset. It achieves the following results on the evaluation set:

Loss: 0.4804
Accuracy: 0.8667
F1: 0.8055

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: 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	0.6056	0.7765	0.6647
No log	2.0	286	0.4282	0.8549	0.7825
No log	3.0	429	0.4119	0.8588	0.7949
0.5089	4.0	572	0.4091	0.8667	0.8102
0.5089	5.0	715	0.4226	0.8627	0.7988
0.5089	6.0	858	0.4333	0.8627	0.8031
0.203	7.0	1001	0.4500	0.8627	0.7972
0.203	8.0	1144	0.4540	0.8667	0.8073
0.203	9.0	1287	0.4765	0.8667	0.8055
0.203	10.0	1430	0.4804	0.8667	0.8055

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Type: bert
License: apache-2.0
Created: Sep 15, 2024
Updated: Sep 15, 2024