metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-DoniaTrials514true
results: []
distilroberta-base-DoniaTrials514true
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6702
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 39 | 7.8456 |
| No log | 2.0 | 78 | 6.4265 |
| No log | 3.0 | 117 | 5.3856 |
| No log | 4.0 | 156 | 4.5975 |
| No log | 5.0 | 195 | 4.0243 |
| No log | 6.0 | 234 | 3.6660 |
| No log | 7.0 | 273 | 3.4572 |
| No log | 8.0 | 312 | 3.3306 |
| No log | 9.0 | 351 | 3.2438 |
| No log | 10.0 | 390 | 3.1784 |
| No log | 11.0 | 429 | 3.1267 |
| No log | 12.0 | 468 | 3.0829 |
| 4.5187 | 13.0 | 507 | 3.0498 |
| 4.5187 | 14.0 | 546 | 3.0194 |
| 4.5187 | 15.0 | 585 | 2.9938 |
| 4.5187 | 16.0 | 624 | 2.9654 |
| 4.5187 | 17.0 | 663 | 2.9417 |
| 4.5187 | 18.0 | 702 | 2.9198 |
| 4.5187 | 19.0 | 741 | 2.8977 |
| 4.5187 | 20.0 | 780 | 2.8808 |
| 4.5187 | 21.0 | 819 | 2.8610 |
| 4.5187 | 22.0 | 858 | 2.8478 |
| 4.5187 | 23.0 | 897 | 2.8297 |
| 4.5187 | 24.0 | 936 | 2.8192 |
| 4.5187 | 25.0 | 975 | 2.8051 |
| 2.9028 | 26.0 | 1014 | 2.7953 |
| 2.9028 | 27.0 | 1053 | 2.7847 |
| 2.9028 | 28.0 | 1092 | 2.7739 |
| 2.9028 | 29.0 | 1131 | 2.7643 |
| 2.9028 | 30.0 | 1170 | 2.7559 |
| 2.9028 | 31.0 | 1209 | 2.7454 |
| 2.9028 | 32.0 | 1248 | 2.7378 |
| 2.9028 | 33.0 | 1287 | 2.7312 |
| 2.9028 | 34.0 | 1326 | 2.7223 |
| 2.9028 | 35.0 | 1365 | 2.7172 |
| 2.9028 | 36.0 | 1404 | 2.7099 |
| 2.9028 | 37.0 | 1443 | 2.7061 |
| 2.9028 | 38.0 | 1482 | 2.6997 |
| 2.7389 | 39.0 | 1521 | 2.6964 |
| 2.7389 | 40.0 | 1560 | 2.6912 |
| 2.7389 | 41.0 | 1599 | 2.6867 |
| 2.7389 | 42.0 | 1638 | 2.6833 |
| 2.7389 | 43.0 | 1677 | 2.6801 |
| 2.7389 | 44.0 | 1716 | 2.6778 |
| 2.7389 | 45.0 | 1755 | 2.6761 |
| 2.7389 | 46.0 | 1794 | 2.6737 |
| 2.7389 | 47.0 | 1833 | 2.6717 |
| 2.7389 | 48.0 | 1872 | 2.6712 |
| 2.7389 | 49.0 | 1911 | 2.6703 |
| 2.7389 | 50.0 | 1950 | 2.6702 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2