phobert-human-tl-seed-6969

trhgquan/phobert-human-tl-seed-6969

phobert-human-tl-seed-6969 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: 75fef16d

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Base models

vinai/phobert-base

Model card

From the Hugging Face model README

phobert-human-tl-seed-6969

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: 0.8387
Precision: 0.6438
Recall: 0.4677
F1: 0.4914

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	0.5154	0.8241	0.5456	0.3492	0.3314
0.5778	2.0	692	0.4712	0.8305	0.6220	0.4062	0.4191
0.4667	3.0	1038	0.4650	0.8331	0.6490	0.4069	0.4227
0.4667	4.0	1384	0.4665	0.8365	0.6819	0.4147	0.4337
0.4617	5.0	1730	0.4639	0.8357	0.6591	0.4129	0.4337
0.4577	6.0	2076	0.4606	0.8368	0.6775	0.4282	0.4479
0.4577	7.0	2422	0.4626	0.8361	0.6851	0.4134	0.4359
0.4554	8.0	2768	0.4530	0.8394	0.6468	0.4436	0.4674
0.4545	9.0	3114	0.4599	0.8342	0.6459	0.4083	0.4288
0.4545	10.0	3460	0.4603	0.8350	0.6825	0.4375	0.4543
0.4587	11.0	3806	0.4594	0.8346	0.6499	0.4092	0.4321
0.4491	12.0	4152	0.4535	0.8387	0.6438	0.4677	0.4914
0.4491	13.0	4498	0.4555	0.8353	0.6372	0.4213	0.4475
0.4579	14.0	4844	0.4563	0.8357	0.6552	0.4129	0.4359
0.4488	15.0	5190	0.4595	0.8335	0.6553	0.4019	0.4217
0.4587	16.0	5536	0.4663	0.8327	0.6580	0.3987	0.4161
0.4587	17.0	5882	0.4515	0.8387	0.6235	0.4357	0.4612

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