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distilbert-base-uncased-finetuned-ft750_reg4 – AI Model by dminiotas05 | AlphaNeural AI
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dminiotas05
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distilbert-base-uncased-finetuned-ft750_reg4
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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_reg4
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: 0.7393
Mse: 0.7393
Mae: 0.6578
R2: 0.3041
Accuracy: 0.4733
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
R2
Accuracy
1.6703
1.0
188
0.7393
0.7393
0.6578
0.3041
0.4733
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
