cls-comment-phobert-base-v2-v1.1 – AI Model by vuihocrnd | AlphaNeural AI

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vuihocrnd/
cls-comment-phobert-base-v2-v1.1

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text-classification

generated_from_trainer

vinai/phobert-base-v2

endpoints_compatible

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cls-comment-phobert-base-v2-v1.1

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: 0.2842
Accuracy: 0.9073
F1 Score: 0.8241
Recall: 0.8213
Precision: 0.8268

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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Recall	Precision
0.3459	1.0	197	0.3334	0.8723	0.7192	0.6187	0.8586
0.2853	2.0	395	0.2662	0.8941	0.7897	0.7518	0.8316
0.2558	3.0	592	0.2601	0.9011	0.8074	0.7842	0.8321
0.2021	4.0	790	0.2467	0.9049	0.8120	0.7770	0.8504
0.1639	5.0	987	0.2798	0.8954	0.8113	0.8507	0.7754
0.1558	6.0	1185	0.2615	0.9046	0.8199	0.8213	0.8184
0.1351	7.0	1382	0.2696	0.9055	0.8214	0.8219	0.8210
0.11	8.0	1580	0.2901	0.9011	0.8198	0.8507	0.7910
0.0966	9.0	1777	0.2825	0.9082	0.8209	0.7956	0.8479
0.0843	9.97	1970	0.2842	0.9073	0.8241	0.8213	0.8268

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2