Distilbert-For-Capstone
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6532
- Accuracy: 0.8143
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.7016 | 1.0 | 1246 | 0.6950 | 0.4983 |
| 0.5651 | 2.0 | 2492 | 0.4257 | 0.8055 |
| 0.3214 | 3.0 | 3738 | 0.4674 | 0.8145 |
| 0.2316 | 4.0 | 4984 | 0.5106 | 0.8131 |
| 0.181 | 5.0 | 6230 | 0.6532 | 0.8143 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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