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distilbert-base-uncased-finetuned-ft1500_unnorm – AI Model by dminiotas05 | AlphaNeural AI
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dminiotas05
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distilbert-base-uncased-finetuned-ft1500_unnorm
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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_unnorm
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: 2.0557
Mse: 205571.2188
Mae: 74.8054
R2: 0.0463
Accuracy: 0.0090
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
R2
Accuracy
1.2054
1.0
3122
2.0557
205571.2188
74.8054
0.0463
0.0090
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
