metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: user_class_L
results: []
user_class_L
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5451
- Accuracy: 0.9237
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: 3.8e-05
- train_batch_size: 30
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1572 | 1.0 | 24 | 0.2433 | 0.9025 |
| 0.1649 | 2.0 | 48 | 0.2262 | 0.9237 |
| 0.2498 | 3.0 | 72 | 0.2584 | 0.9237 |
| 0.006 | 4.0 | 96 | 0.3393 | 0.9153 |
| 0.0035 | 5.0 | 120 | 0.3967 | 0.9153 |
| 0.0017 | 6.0 | 144 | 0.4777 | 0.9153 |
| 0.0006 | 7.0 | 168 | 0.6257 | 0.8898 |
| 0.0005 | 8.0 | 192 | 0.5752 | 0.9153 |
| 0.0002 | 9.0 | 216 | 0.5182 | 0.9237 |
| 0.0003 | 10.0 | 240 | 0.5041 | 0.9195 |
| 0.0002 | 11.0 | 264 | 0.5051 | 0.9195 |
| 0.0001 | 12.0 | 288 | 0.5292 | 0.9195 |
| 0.0002 | 13.0 | 312 | 0.5391 | 0.9237 |
| 0.0002 | 14.0 | 336 | 0.5437 | 0.9237 |
| 0.0002 | 15.0 | 360 | 0.5451 | 0.9237 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2