Classfication_electra – AI Model by Svetlana0303 | AlphaNeural AI

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Svetlana0303/
Classfication_electra

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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Classfication_electra

This model is a fine-tuned version of google/electra-small-generator on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0683
Accuracy: 0.55

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	10	1.0170	0.7368
No log	2.0	20	0.9752	0.7895
No log	3.0	30	0.9482	0.7895
No log	4.0	40	0.9243	0.7895
No log	5.0	50	0.9109	0.7895
No log	6.0	60	0.8877	0.7895
No log	7.0	70	0.8748	0.7368
No log	8.0	80	0.8570	0.7368
No log	9.0	90	0.8500	0.7368
No log	10.0	100	0.8353	0.7368
No log	11.0	110	0.8230	0.7368
No log	12.0	120	0.8033	0.6842
No log	13.0	130	0.7917	0.7368
No log	14.0	140	0.7869	0.7895
No log	15.0	150	0.7783	0.7895
No log	16.0	160	0.7578	0.7368
No log	17.0	170	0.7514	0.7368
No log	18.0	180	0.7473	0.7895
No log	19.0	190	0.7455	0.7895
No log	20.0	200	0.7457	0.7895

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2