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distilbert-base-uncased-finetuned-cola – AI Model by mzbrdy | AlphaNeural AI

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mzbrdy/
distilbert-base-uncased-finetuned-cola

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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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:

eval_loss: 0.5667
eval_matthews_correlation: 0.4102
eval_runtime: 182.5344
eval_samples_per_second: 5.714
eval_steps_per_second: 0.362
epoch: 1.2
step: 641

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

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0