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distilbert-base-uncased-finetuned-cola – AI Model by kbamponsem | AlphaNeural AI
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kbamponsem
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distilbert-base-uncased-finetuned-cola
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of
distilbert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.7110
Matthews Correlation: -0.0126
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
-0.0155
1.0
535
0.7110
-0.0126
0.0431
2.0
1070
0.7110
-0.0126
-0.0076
3.0
1605
0.7110
-0.0126
0.0227
4.0
2140
0.7110
-0.0126
-0.0648
5.0
2675
0.7110
-0.0126
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
