new_classifer_epoch10 – AI Model by wenkai-li | AlphaNeural AI

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wenkai-li/
new_classifer_epoch10

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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new_classifer_epoch10

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0837
Accuracy: 0.9867

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0524	1.0	4248	0.0628	0.9790
0.0251	2.0	8496	0.0496	0.9848
0.0153	3.0	12744	0.0857	0.9837
0.0049	4.0	16992	0.1030	0.9849
0.0038	5.0	21240	0.0837	0.9867
0.003	6.0	25488	0.1165	0.9856
0.0026	7.0	29736	0.1143	0.9853
0.0004	8.0	33984	0.1475	0.9856
0.0004	9.0	38232	0.1328	0.9861
0.0	10.0	42480	0.1349	0.9862

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1