phobert-human-tl-seed-69

trhgquan/phobert-human-tl-seed-69

phobert-human-tl-seed-69 is a text classification model from trhgquan. 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: Jul 8, 2025
Updated: Jul 8, 2025
SHA: 5edf7929

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Base models

vinai/phobert-base

Model card

From the Hugging Face model README

phobert-human-tl-seed-69

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

Loss: 0.4535
Accuracy: 0.8398
Precision: 0.6509
Recall: 0.4718
F1: 0.4965

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	346	0.5169	0.8237	0.5413	0.3480	0.3291
0.5883	2.0	692	0.4718	0.8320	0.6263	0.4068	0.4201
0.4671	3.0	1038	0.4658	0.8335	0.6649	0.4074	0.4246
0.4671	4.0	1384	0.4671	0.8368	0.6924	0.4163	0.4365
0.4618	5.0	1730	0.4639	0.8357	0.6689	0.4144	0.4365
0.4577	6.0	2076	0.4606	0.8357	0.6478	0.4245	0.4437
0.4577	7.0	2422	0.4627	0.8357	0.6907	0.4133	0.4353
0.4555	8.0	2768	0.4532	0.8394	0.6546	0.4429	0.4681
0.4542	9.0	3114	0.4600	0.8338	0.6444	0.4071	0.4271
0.4542	10.0	3460	0.4604	0.8342	0.6652	0.4372	0.4540
0.4587	11.0	3806	0.4590	0.8357	0.6626	0.4125	0.4378
0.4489	12.0	4152	0.4535	0.8398	0.6509	0.4718	0.4965
0.4489	13.0	4498	0.4556	0.8353	0.6360	0.4202	0.4464
0.4575	14.0	4844	0.4565	0.8361	0.6533	0.4141	0.4378
0.449	15.0	5190	0.4597	0.8335	0.6578	0.4008	0.4203
0.4588	16.0	5536	0.4663	0.8323	0.6494	0.3975	0.4143
0.4588	17.0	5882	0.4515	0.8368	0.6142	0.4328	0.4568

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jul 8, 2025
Updated: Jul 8, 2025