metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Heritage-in-the-Digital-Age-expression-comparison
results: []
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: 0.4872
- Accuracy: 0.7973
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 | 0.4922 | 0.7904 |
| No log | 2.0 | 272 | 0.4773 | 0.7938 |
| No log | 3.0 | 408 | 0.4872 | 0.7973 |
| 0.48 | 4.0 | 544 | 0.4845 | 0.7869 |
| 0.48 | 5.0 | 680 | 0.5033 | 0.7869 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2