metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: discord_classification
results: []
discord_classification
Just a test model, don't use it
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.689 | 1.0 | 3 | 0.7741 | 0.333 | 1.0 |
| 0.631 | 2.0 | 6 | 0.7284 | 0.333 | 1.0 |
| 0.6004 | 3.0 | 9 | 0.7037 | 0.333 | 1.0 |
| 0.5466 | 4.0 | 12 | 0.6870 | 0.333 | 1.0 |
| 0.6374 | 5.0 | 15 | 0.6761 | 0.333 | 1.0 |
| 0.5693 | 6.0 | 18 | 0.6667 | 0.333 | 1.0 |
| 0.5487 | 7.0 | 21 | 0.6541 | 0.667 | 1.0 |
| 0.562 | 8.0 | 24 | 0.6471 | 0.667 | 1.0 |
| 0.5382 | 9.0 | 27 | 0.6452 | 0.667 | 1.0 |
| 0.5485 | 10.0 | 30 | 0.6459 | 0.667 | 1.0 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0