metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5597
- Accuracy: 0.7971
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3591 | 1.0 | 199 | 0.5374 | 0.7866 |
| 0.4795 | 2.0 | 399 | 0.4847 | 0.7847 |
| 0.3843 | 3.0 | 598 | 0.4738 | 0.7866 |
| 0.3014 | 4.0 | 798 | 0.5597 | 0.7971 |
| 0.2365 | 5.0 | 997 | 0.7518 | 0.7395 |
| 0.1786 | 6.0 | 1197 | 0.7485 | 0.7847 |
| 0.0718 | 6.98 | 1393 | 0.9276 | 0.7835 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2