eng_cate – AI Model by tangminhanh | AlphaNeural AI

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tangminhanh/
eng_cate

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text-classification

generated_from_trainer

microsoft/deberta-v3-small

autotrain_compatible

endpoints_compatible

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eng_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: 0.2466
Accuracy: 0.9159
F1: 0.9159
Precision: 0.9159
Recall: 0.9159

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: 32
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	54	0.3248	0.9159	0.9159	0.9159	0.9159
No log	2.0	108	0.2950	0.9159	0.9159	0.9159	0.9159
No log	3.0	162	0.2577	0.9159	0.9159	0.9159	0.9159
No log	4.0	216	0.2557	0.9159	0.9159	0.9159	0.9159
No log	5.0	270	0.2466	0.9159	0.9159	0.9159	0.9159

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1