distilbert-base-uncased-finetuned-ft1500_norm1000 – AI Model by dminiotas05 | AlphaNeural AI

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dminiotas05/
distilbert-base-uncased-finetuned-ft1500_norm1000

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-ft1500_norm1000

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: 1.0875
Mse: 1.3594
Mae: 0.5794
R2: 0.3573
Accuracy: 0.7015

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
0.8897	1.0	3122	1.0463	1.3078	0.5936	0.3817	0.7008
0.7312	2.0	6244	1.0870	1.3588	0.5796	0.3576	0.7002
0.5348	3.0	9366	1.1056	1.3820	0.5786	0.3467	0.7124
0.3693	4.0	12488	1.0866	1.3582	0.5854	0.3579	0.7053
0.2848	5.0	15610	1.0875	1.3594	0.5794	0.3573	0.7015

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1