metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased
results: []
distilbert-base-uncased
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3188
- Accuracy: 0.9224
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1010
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.104 | 1.0 | 2370 | 0.1172 | 0.9724 |
| 0.143 | 2.0 | 4740 | 0.1707 | 0.9608 |
| 0.2895 | 3.0 | 7110 | 0.3216 | 0.9224 |
| 0.3122 | 4.0 | 9480 | 0.3178 | 0.9224 |
| 0.3177 | 5.0 | 11850 | 0.3223 | 0.9224 |
| 0.318 | 6.0 | 14220 | 0.3182 | 0.9224 |
| 0.3174 | 7.0 | 16590 | 0.3194 | 0.9224 |
| 0.317 | 8.0 | 18960 | 0.3183 | 0.9224 |
| 0.3176 | 9.0 | 21330 | 0.3179 | 0.9224 |
| 0.3178 | 10.0 | 23700 | 0.3188 | 0.9224 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1