textclassifier – AI Model by ruru2701 | AlphaNeural AI

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ruru2701/
textclassifier

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text-classification

generated_from_trainer

distilbert/distilbert-base-cased

autotrain_compatible

endpoints_compatible

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textclassifier

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

Loss: 4.6439
Accuracy: 0.0

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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
4.4693	1.0	33	4.4433	0.0
4.4849	2.0	66	4.5026	0.0
4.4433	3.0	99	4.5717	0.0
4.4234	4.0	132	4.5887	0.0
4.4015	5.0	165	4.6163	0.0
4.3956	6.0	198	4.6046	0.0
4.3878	7.0	231	4.6354	0.0
4.3759	8.0	264	4.6372	0.0
4.3787	9.0	297	4.6405	0.0
4.3678	10.0	330	4.6439	0.0

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2