hybrid_lexical_hosting_64_10 – AI Model by ttqdunggg | AlphaNeural AI

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hybrid_lexical_hosting_64_10

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vinai/phobert-base-v2

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hybrid_lexical_hosting_64_10

This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2450
Accuracy: 0.9073
F1: 0.9072

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: 2e-05
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: 2580
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3018	1.0	1032	0.2590	0.8544	0.8544
0.2416	2.0	2064	0.2243	0.8921	0.8921
0.2083	3.0	3096	0.2031	0.9073	0.9074
0.1784	4.0	4128	0.2023	0.9059	0.9057
0.1553	5.0	5160	0.1998	0.9111	0.9111
0.1381	6.0	6192	0.1975	0.9099	0.9100
0.1263	7.0	7224	0.2400	0.9027	0.9028
0.1168	8.0	8256	0.2450	0.9073	0.9072

Framework versions

Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.22.1