metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets: jgammack/SAE-door-abstracts
widget:
- text: Wind [MASK] was detected coming from the car door closure system.
example_title: Closure system
model-index:
- name: SAE-bert-base-uncased
results: []
SAE-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on the jgammack/SAE-door-abstracts dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1256
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: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5967 | 1.0 | 80 | 2.3409 |
| 2.4881 | 2.0 | 160 | 2.2707 |
| 2.3567 | 3.0 | 240 | 2.3134 |
| 2.3413 | 4.0 | 320 | 2.2592 |
| 2.3006 | 5.0 | 400 | 2.2351 |
| 2.2568 | 6.0 | 480 | 2.2556 |
| 2.2303 | 7.0 | 560 | 2.2546 |
| 2.1892 | 8.0 | 640 | 2.1868 |
| 2.1851 | 9.0 | 720 | 2.2073 |
| 2.1738 | 10.0 | 800 | 2.1344 |
| 2.1673 | 11.0 | 880 | 2.1927 |
| 2.1518 | 12.0 | 960 | 2.1844 |
| 2.1142 | 13.0 | 1040 | 2.1466 |
| 2.1343 | 14.0 | 1120 | 2.2024 |
| 2.1332 | 15.0 | 1200 | 2.1035 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0