PhoLexiContent-10304 – AI Model by ace-in-the-hole | AlphaNeural AI

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PhoLexiContent-10304

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vinai/phobert-base-v2

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PhoLexiContent-10304

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: 0.2676
Accuracy: 0.9379
F1: 0.9072
Precision: 0.9100
Recall: 0.9046

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
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.7189	2.7586	100	0.1735	0.9437	0.9157	0.9199	0.9116
0.178	5.5172	200	0.1864	0.9408	0.9099	0.9211	0.8998
0.0931	8.2759	300	0.2137	0.9418	0.9124	0.9182	0.9070
0.0931	11.0345	400	0.2234	0.9408	0.9129	0.9096	0.9163
0.0564	13.7931	500	0.2346	0.9370	0.9075	0.9030	0.9122
0.0334	16.5517	600	0.2652	0.9350	0.9037	0.9030	0.9044
0.0334	19.3103	700	0.2676	0.9379	0.9072	0.9100	0.9046

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0