cls-comment-phobert-base-v2-v2.1.2

vuihocrnd/cls-comment-phobert-base-v2-v2.1.2

cls-comment-phobert-base-v2-v2.1.2 is a text classification model from vuihocrnd. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Mar 13, 2024
Updated: Mar 13, 2024
SHA: 3c8c817d

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Base models

vinai/phobert-base-v2

Model card

From the Hugging Face model README

cls-comment-phobert-base-v2-v2.1.2

This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4647
Accuracy: 0.9089
F1 Score: 0.8724
Recall: 0.8602
Precision: 0.8863

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Recall	Precision
1.7278	2.02	100	1.5085	0.5057	0.1789	0.2120	0.1751
1.3435	4.04	200	1.0868	0.6516	0.2472	0.2862	0.2185
0.9504	6.06	300	0.7203	0.8	0.5338	0.5339	0.5372
0.6499	8.08	400	0.5300	0.8611	0.6612	0.6504	0.7187
0.4594	10.1	500	0.4458	0.8828	0.7132	0.6988	0.7379
0.347	12.12	600	0.4293	0.8764	0.7141	0.7140	0.7197
0.2744	14.14	700	0.3918	0.8866	0.7157	0.7208	0.7144
0.2174	16.16	800	0.3758	0.9013	0.8365	0.7997	0.8875
0.1608	18.18	900	0.3822	0.9	0.8552	0.8355	0.8792
0.126	20.2	1000	0.3968	0.9019	0.8614	0.8466	0.8831
0.1047	22.22	1100	0.4066	0.9006	0.8599	0.8487	0.8745
0.0891	24.24	1200	0.3824	0.9108	0.8696	0.8592	0.8837
0.0759	26.26	1300	0.3884	0.9185	0.8833	0.8640	0.9050
0.058	28.28	1400	0.4221	0.9070	0.8677	0.8573	0.8808
0.0495	30.3	1500	0.4308	0.9096	0.8683	0.8504	0.8897
0.044	32.32	1600	0.4303	0.9121	0.8680	0.8495	0.8908
0.0393	34.34	1700	0.4500	0.9083	0.8626	0.8461	0.8838
0.0333	36.36	1800	0.4647	0.9089	0.8724	0.8602	0.8863

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: roberta
Created: Mar 13, 2024
Updated: Mar 13, 2024