metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_model
results: []
my_awesome_model
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: 1.3606
- Accuracy: 0.5478
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 259 | 1.0397 | 0.5565 |
| 0.8822 | 2.0 | 518 | 1.0877 | 0.5556 |
| 0.8822 | 3.0 | 777 | 1.1596 | 0.5391 |
| 0.6634 | 4.0 | 1036 | 1.2573 | 0.5594 |
| 0.6634 | 5.0 | 1295 | 1.3176 | 0.5488 |
| 0.4813 | 6.0 | 1554 | 1.3606 | 0.5478 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0