hr_cate – AI Model by tangminhanh | AlphaNeural AI

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tangminhanh/
hr_cate

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text-classification

generated_from_trainer

microsoft/deberta-v3-small

autotrain_compatible

endpoints_compatible

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hr_cate

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0404
Accuracy: 0.7833
F1: 0.8459
Precision: 0.9146
Recall: 0.7869

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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	227	0.0946	0.4140	0.5702	0.9179	0.4136
No log	2.0	454	0.0573	0.6871	0.7845	0.9153	0.6864
0.1387	3.0	681	0.0468	0.7629	0.8291	0.9091	0.7620
0.1387	4.0	908	0.0420	0.7722	0.8372	0.9138	0.7725
0.0456	5.0	1135	0.0404	0.7833	0.8459	0.9146	0.7869

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1