metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-sigir-LR100-0-prepend-40
results: []
bert-large-cased-sigir-LR100-0-prepend-40
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1764
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: 4e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6453 | 1.0 | 3 | 2.0522 |
| 2.0488 | 2.0 | 6 | 1.7600 |
| 1.9917 | 3.0 | 9 | 2.3036 |
| 1.6084 | 4.0 | 12 | 1.4050 |
| 1.856 | 5.0 | 15 | 1.3598 |
| 1.6471 | 6.0 | 18 | 1.5274 |
| 1.2358 | 7.0 | 21 | 1.6642 |
| 1.4355 | 8.0 | 24 | 1.6109 |
| 1.5753 | 9.0 | 27 | 1.8690 |
| 1.5374 | 10.0 | 30 | 1.7986 |
| 1.5063 | 11.0 | 33 | 1.4979 |
| 1.2185 | 12.0 | 36 | 0.7390 |
| 1.6042 | 13.0 | 39 | 1.1280 |
| 1.1938 | 14.0 | 42 | 1.1252 |
| 1.3215 | 15.0 | 45 | 1.6827 |
| 1.0789 | 16.0 | 48 | 1.6349 |
| 1.095 | 17.0 | 51 | 2.6303 |
| 1.0088 | 18.0 | 54 | 0.9429 |
| 1.015 | 19.0 | 57 | 1.4165 |
| 1.2432 | 20.0 | 60 | 2.1061 |
| 1.3365 | 21.0 | 63 | 1.5785 |
| 1.2704 | 22.0 | 66 | 2.1850 |
| 0.972 | 23.0 | 69 | 1.7769 |
| 0.9052 | 24.0 | 72 | 1.5376 |
| 0.976 | 25.0 | 75 | 2.1072 |
| 1.1134 | 26.0 | 78 | 2.4425 |
| 0.8328 | 27.0 | 81 | 1.5937 |
| 1.1662 | 28.0 | 84 | 1.3542 |
| 0.8575 | 29.0 | 87 | 1.2236 |
| 0.728 | 30.0 | 90 | 1.2229 |
| 1.1601 | 31.0 | 93 | 2.3723 |
| 0.9426 | 32.0 | 96 | 1.6974 |
| 0.8246 | 33.0 | 99 | 1.6610 |
| 0.9777 | 34.0 | 102 | 1.1179 |
| 0.7588 | 35.0 | 105 | 1.8809 |
| 0.6929 | 36.0 | 108 | 1.9128 |
| 0.6794 | 37.0 | 111 | 1.2689 |
| 0.811 | 38.0 | 114 | 1.6715 |
| 0.6805 | 39.0 | 117 | 2.0424 |
| 0.9157 | 40.0 | 120 | 1.4210 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2