results – AI Model by dung6903 | AlphaNeural AI

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dung6903/
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text-classification

generated_from_trainer

dung6903/results

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of dung6903/results on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3588
Accuracy: 0.5149
F1: 0.5145
Precision: 0.5180
Recall: 0.5149

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	142	2.3684	0.4612	0.4524	0.4814	0.4612
No log	2.0	284	2.3173	0.5149	0.5117	0.5226	0.5149
No log	3.0	426	2.3588	0.5149	0.5145	0.5180	0.5149
0.2514	4.0	568	2.5204	0.4950	0.4963	0.5052	0.4950
0.2514	5.0	710	2.8100	0.5050	0.5076	0.5255	0.5050
0.2514	6.0	852	2.9408	0.5089	0.5056	0.5262	0.5089
0.2514	7.0	994	3.0119	0.5129	0.5104	0.5245	0.5129
0.1376	8.0	1136	3.0821	0.4652	0.4594	0.4763	0.4652
0.1376	9.0	1278	3.2156	0.4911	0.4871	0.5028	0.4911
0.1376	10.0	1420	3.2285	0.4970	0.4969	0.5024	0.4970
0.0934	11.0	1562	3.1558	0.4970	0.4966	0.5030	0.4970
0.0934	12.0	1704	3.1808	0.5089	0.5078	0.5184	0.5089

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0