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Heritage-in-the-Digital-Age-expression-comparison – AI Model by tgieruc | AlphaNeural AI
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Heritage-in-the-Digital-Age-expression-comparison
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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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Heritage-in-the-Digital-Age-expression-comparison
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: 0.5281
Accuracy: 0.7709
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: 15
eval_batch_size: 15
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
Accuracy
No log
1.0
136
0.5281
0.7709
No log
2.0
272
0.5288
0.7709
No log
3.0
408
0.5311
0.7629
0.4623
4.0
544
0.5814
0.7595
0.4623
5.0
680
0.5764
0.7549
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
