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Heritage-in-the-Digital-Age – AI Model by tgieruc | AlphaNeural AI
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Heritage-in-the-Digital-Age
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1797
Matthews Correlation: 0.8587
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: 6.627434667917962e-05
train_batch_size: 16
eval_batch_size: 16
seed: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
No log
1.0
183
0.4053
0.6878
No log
2.0
366
0.3494
0.7153
0.4051
3.0
549
0.2312
0.8267
0.4051
4.0
732
0.1797
0.8587
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
