cls-comment-phobert-base-v2-v2.1 – AI Model by vuihocrnd | AlphaNeural AI

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vuihocrnd/
cls-comment-phobert-base-v2-v2.1

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text-classification

generated_from_trainer

vinai/phobert-base-v2

endpoints_compatible

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cls-comment-phobert-base-v2-v2.1

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: 0.4105
Accuracy: 0.8994
F1 Score: 0.8400
Recall: 0.8281
Precision: 0.8593

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: 1500

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Recall	Precision
1.5954	2.02	100	1.2503	0.6325	0.2395	0.2751	0.2173
0.9847	4.04	200	0.6986	0.8006	0.5335	0.5327	0.5376
0.6015	6.06	300	0.5355	0.8503	0.6428	0.6491	0.6730
0.4411	8.08	400	0.4605	0.8701	0.6817	0.6700	0.7111
0.3344	10.1	500	0.4352	0.8777	0.6919	0.6766	0.7176
0.2843	12.12	600	0.4262	0.8796	0.6978	0.6900	0.7078
0.2288	14.14	700	0.4166	0.8745	0.6927	0.6868	0.7100
0.1816	16.16	800	0.4045	0.8879	0.8109	0.7761	0.8668
0.1597	18.18	900	0.4193	0.8841	0.8206	0.7973	0.8523
0.1306	20.2	1000	0.3999	0.8955	0.8349	0.8059	0.8747
0.1182	22.22	1100	0.4060	0.8936	0.8313	0.8057	0.8672
0.1046	24.24	1200	0.4133	0.8955	0.8351	0.8312	0.8460
0.0973	26.26	1300	0.4145	0.8955	0.8319	0.8142	0.8590
0.088	28.28	1400	0.4096	0.8994	0.8412	0.8283	0.8612
0.0893	30.3	1500	0.4105	0.8994	0.8400	0.8281	0.8593

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2