brief_dataset_10_epochs – AI Model by mi-rei | AlphaNeural AI

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mi-rei/
brief_dataset_10_epochs

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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brief_dataset_10_epochs

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: 1.2642
Accuracy: 0.5458

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.689	1.0	1394	0.6778	0.5532
0.657	2.0	2788	0.6783	0.5910
0.6128	3.0	4182	0.6691	0.5970
0.5683	4.0	5576	0.7224	0.6029
0.5357	5.0	6970	0.7499	0.6
0.4963	6.0	8364	0.8269	0.5921
0.4739	7.0	9758	1.0077	0.5743
0.4447	8.0	11152	1.1239	0.5387
0.4167	9.0	12546	1.1807	0.5464
0.3986	10.0	13940	1.2642	0.5458

Framework versions

Transformers 4.30.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3