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bert-fine-tuned-cola – AI Model by ganeshkamath89 | AlphaNeural AI
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ganeshkamath89
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bert-fine-tuned-cola
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generated_from_trainer
nyu-mll/glue
apache-2.0
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bert-fine-tuned-cola
This model is a fine-tuned version of
bert-base-cased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.8068
Matthews Correlation: 0.5959
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: 8
eval_batch_size: 8
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
Matthews Correlation
0.4838
1.0
1069
0.5996
0.4637
0.3543
2.0
2138
0.6670
0.5778
0.1948
3.0
3207
0.8068
0.5959
Framework versions
Transformers 4.13.0.dev0
Pytorch 1.9.1+cu102
Datasets 1.13.4.dev0
Tokenizers 0.10.3
