<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bert_mini_cosmetic
This model is a fine-tuned version of prajjwal1/bert-mini on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3512
- Accuracy: 0.9083
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 120 | 0.7387 | 0.8848 |
| No log | 2.0 | 240 | 0.4699 | 0.9047 |
| No log | 3.0 | 360 | 0.3882 | 0.9041 |
| No log | 4.0 | 480 | 0.3598 | 0.9078 |
| 0.6339 | 5.0 | 600 | 0.3512 | 0.9083 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
