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distilbert-base-uncased-finetuned-cola – AI Model by SQ8 | AlphaNeural AI
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distilbert-base-uncased-finetuned-cola
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
glue
distilbert/distilbert-base-uncased
finetune
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: 0.7682
Matthews Correlation: 0.5367
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
0.5205
1.0
535
0.4616
0.4935
0.3458
2.0
1070
0.4893
0.5162
0.225
3.0
1605
0.6210
0.5177
0.1758
4.0
2140
0.7682
0.5367
0.1224
5.0
2675
0.8429
0.5354
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
