vietnamese_feedback_model_2_1.0

P829692/vietnamese_feedback_model_2_1.0

vietnamese_feedback_model_2_1.0 is a text classification model from P829692. 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: Mar 12, 2023
Updated: Mar 12, 2023
SHA: d88aa89b

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Model card

From the Hugging Face model README

vietnamese_feedback_model_2_1.0

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1459
Accuracy: 0.9646

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1355	1.0	3999	0.1435	0.9603
0.1247	2.0	7998	0.1322	0.9643
0.088	3.0	11997	0.1459	0.9646

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 12, 2023
Updated: Mar 12, 2023