distilbert-base-uncased-finetuned-ft1500_norm500_aug1 – AI Model by dminiotas05 | AlphaNeural AI

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dminiotas05/
distilbert-base-uncased-finetuned-ft1500_norm500_aug1

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-ft1500_norm500_aug1

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: 2.9086
Mse: 3.6357
Mae: 1.0762
R2: 0.2894
Accuracy: 0.5170

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2	Accuracy
1.5856	1.0	5847	3.3101	4.1376	1.1447	0.1913	0.4965
0.442	2.0	11694	2.7448	3.4311	1.0934	0.3294	0.4523
0.2703	3.0	17541	2.9300	3.6625	1.0907	0.2841	0.4933
0.1699	4.0	23388	2.7979	3.4973	1.0808	0.3164	0.4805
0.1168	5.0	29235	2.9086	3.6357	1.0762	0.2894	0.5170

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1