metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
results: []
bert-base-uncased-issues-128
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2458
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0996 | 1.0 | 291 | 1.6936 |
| 1.6403 | 2.0 | 582 | 1.4266 |
| 1.4875 | 3.0 | 873 | 1.3924 |
| 1.399 | 4.0 | 1164 | 1.3820 |
| 1.3415 | 5.0 | 1455 | 1.2009 |
| 1.2812 | 6.0 | 1746 | 1.2759 |
| 1.2396 | 7.0 | 2037 | 1.2623 |
| 1.1992 | 8.0 | 2328 | 1.2106 |
| 1.1661 | 9.0 | 2619 | 1.1873 |
| 1.1402 | 10.0 | 2910 | 1.2241 |
| 1.1294 | 11.0 | 3201 | 1.2056 |
| 1.1042 | 12.0 | 3492 | 1.1628 |
| 1.0827 | 13.0 | 3783 | 1.2517 |
| 1.0743 | 14.0 | 4074 | 1.1699 |
| 1.0626 | 15.0 | 4365 | 1.1190 |
| 1.0626 | 16.0 | 4656 | 1.2458 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1