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distilbert-base-uncased-finetuned-cola – AI Model by Sumaia | AlphaNeural AI
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Sumaia
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distilbert-base-uncased-finetuned-cola
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transformers
pytorch
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: 0.6164
Matthews Correlation: 0.0
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: 128
eval_batch_size: 128
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
No log
1.0
7
0.6164
0.0
No log
2.0
14
0.6135
0.0
No log
3.0
21
0.6028
0.0
No log
4.0
28
0.5957
0.0
No log
5.0
35
0.5929
0.0
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cpu
Datasets 2.10.0
Tokenizers 0.13.2
