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grow_classification
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2151
- Accuracy: 0.7979
- F1: 0.8011
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7378 | 1.0 | 329 | 0.7427 | 0.7542 | 0.7576 |
| 0.2507 | 2.0 | 658 | 0.8395 | 0.7744 | 0.7803 |
| 0.1459 | 3.0 | 987 | 0.9161 | 0.7776 | 0.7818 |
| 0.0897 | 4.0 | 1316 | 1.1515 | 0.7617 | 0.7695 |
| 0.0625 | 5.0 | 1645 | 1.0914 | 0.7855 | 0.7925 |
| 0.0505 | 6.0 | 1974 | 1.1111 | 0.7907 | 0.7941 |
| 0.039 | 7.0 | 2303 | 1.3218 | 0.7673 | 0.7762 |
| 0.0344 | 8.0 | 2632 | 1.2019 | 0.7943 | 0.7970 |
| 0.0262 | 9.0 | 2961 | 1.2520 | 0.7907 | 0.7949 |
| 0.0238 | 10.0 | 3290 | 1.2151 | 0.7979 | 0.8011 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
