metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bank-transaction-classification-distilroberta-base-v1
results: []
bank-transaction-classification-distilroberta-base-v1
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5173
- Accuracy: 0.8850
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: 45
- eval_batch_size: 45
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.6326 | 1.0 | 4596 | 0.8358 | 0.5800 |
| 0.4676 | 2.0 | 9192 | 0.8571 | 0.4992 |
| 0.3977 | 3.0 | 13788 | 0.8599 | 0.4680 |
| 0.3654 | 4.0 | 18384 | 0.8653 | 0.4636 |
| 0.3437 | 5.0 | 22980 | 0.8683 | 0.4650 |
| 0.3183 | 6.0 | 27576 | 0.8724 | 0.4453 |
| 0.296 | 7.0 | 32172 | 0.8706 | 0.4521 |
| 0.2379 | 8.0 | 36768 | 0.8760 | 0.4299 |
| 0.2772 | 9.0 | 41364 | 0.8837 | 0.4520 |
| 0.2488 | 10.0 | 45960 | 0.8776 | 0.4627 |
| 0.2589 | 11.0 | 50556 | 0.8786 | 0.4711 |
| 0.2317 | 12.0 | 55152 | 0.8801 | 0.4677 |
| 0.2179 | 13.0 | 59748 | 0.8828 | 0.4698 |
| 0.2216 | 14.0 | 64344 | 0.8798 | 0.4736 |
| 0.1983 | 15.0 | 68940 | 0.8802 | 0.4788 |
| 0.2068 | 16.0 | 73536 | 0.8817 | 0.4959 |
| 0.2034 | 17.0 | 78132 | 0.8824 | 0.4849 |
| 0.2116 | 18.0 | 82728 | 0.8837 | 0.4957 |
| 0.2152 | 19.0 | 87324 | 0.8833 | 0.4883 |
| 0.2021 | 20.0 | 91920 | 0.8855 | 0.5119 |
| 0.1962 | 21.0 | 96516 | 0.5030 | 0.8855 |
| 0.1836 | 22.0 | 101112 | 0.5089 | 0.8855 |
| 0.1944 | 23.0 | 105708 | 0.5114 | 0.8851 |
| 0.1785 | 24.0 | 110304 | 0.5157 | 0.8852 |
| 0.1802 | 25.0 | 114900 | 0.5173 | 0.8850 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1