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distilbert-base-uncased-finetuned-ft1500_norm500_aug5 – AI Model by dminiotas05 | AlphaNeural AI
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dminiotas05
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distilbert-base-uncased-finetuned-ft1500_norm500_aug5
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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_norm500_aug5
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: 0.8927
Mse: 2.9755
Mae: 1.0176
R2: 0.4184
Accuracy: 0.5003
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
0.4176
1.0
3952
1.0499
3.4996
1.0853
0.3160
0.4593
0.3196
2.0
7904
0.8670
2.8901
1.0503
0.4351
0.4600
0.2084
3.0
11856
0.8927
2.9755
1.0176
0.4184
0.5003
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
