PhoBERT-cls-OCR – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
PhoBERT-cls-OCR

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text-classification

generated_from_trainer

vinai/phobert-base

autotrain_compatible

endpoints_compatible

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PhoBERT-cls-OCR

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

Loss: 0.4288
Accuracy: 0.8812
F1: 0.8812

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5728	1.0	25	0.4112	0.8614	0.8590
0.2892	2.0	50	0.3444	0.8515	0.8511
0.1954	3.0	75	0.3638	0.8812	0.8816
0.1387	4.0	100	0.3591	0.8812	0.8806
0.1029	5.0	125	0.3809	0.8911	0.8908
0.053	6.0	150	0.4145	0.8911	0.8903
0.0527	7.0	175	0.4288	0.8812	0.8812

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1