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_classification2
results: []
discord_classification2
This model is a fine-tuned version of google-bert/bert-base-uncased on the Text classification documentation dataset. It achieves the following results on the evaluation set:
- Loss: 0.0020
- Accuracy: 1.0
- Auc: 1.0
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 |
|---|---|---|---|---|---|
| 0.1484 | 1.0 | 92 | 0.0125 | 1.0 | 1.0 |
| 0.0164 | 2.0 | 184 | 0.0086 | 1.0 | 1.0 |
| 0.0138 | 3.0 | 276 | 0.0038 | 1.0 | 1.0 |
| 0.0073 | 4.0 | 368 | 0.0095 | 0.989 | 1.0 |
| 0.0052 | 5.0 | 460 | 0.0023 | 1.0 | 1.0 |
| 0.0065 | 6.0 | 552 | 0.0021 | 1.0 | 1.0 |
| 0.0041 | 7.0 | 644 | 0.0018 | 1.0 | 1.0 |
| 0.0062 | 8.0 | 736 | 0.0023 | 1.0 | 1.0 |
| 0.0032 | 9.0 | 828 | 0.0020 | 1.0 | 1.0 |
| 0.0044 | 10.0 | 920 | 0.0020 | 1.0 | 1.0 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0