metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-spam-ham
results: []
distilbert-base-uncased-finetuned-spam-ham
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3864
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1646 | 1.0 | 120 | 2.8095 |
| 2.8263 | 2.0 | 240 | 2.6643 |
| 2.7054 | 3.0 | 360 | 2.5747 |
| 2.6113 | 4.0 | 480 | 2.5085 |
| 2.546 | 5.0 | 600 | 2.4482 |
| 2.489 | 6.0 | 720 | 2.3980 |
| 2.4689 | 7.0 | 840 | 2.4005 |
| 2.4327 | 8.0 | 960 | 2.3899 |
| 2.4146 | 9.0 | 1080 | 2.3535 |
| 2.4191 | 10.0 | 1200 | 2.3689 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1