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distilbert-base-uncased-finetuned-ft750_reg5 – AI Model by dminiotas05 | AlphaNeural AI | AlphaNeural AI
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dminiotas05
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distilbert-base-uncased-finetuned-ft750_reg5
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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-ft750_reg5
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: 0.6298
Mse: 0.6298
Mae: 0.6087
R2: 0.4072
Accuracy: 0.4973
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: 64
eval_batch_size: 64
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
1.8617
1.0
188
0.7482
0.7482
0.6639
0.2957
0.4707
0.5667
2.0
376
0.6017
0.6017
0.5978
0.4336
0.5127
0.5038
3.0
564
0.6298
0.6298
0.6087
0.4072
0.4973
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
