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distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x – AI Model by dminiotas05 | AlphaNeural AI
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dminiotas05
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distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-ft1500_norm300_aug5_10_8x
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: 1.0667
Mse: 4.2666
Mae: 1.3594
R2: 0.4759
Accuracy: 0.3619
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
R2
Accuracy
0.839
1.0
6364
1.0965
4.3859
1.5243
0.4613
0.2012
0.4412
2.0
12728
0.9976
3.9905
1.4462
0.5099
0.2473
0.2543
3.0
19092
1.0667
4.2666
1.3594
0.4759
0.3619
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
