metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: interview_classifier
results: []
interview_classifier
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: 0.1239
- Accuracy: 0.9603
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 76 | 2.1645 | 0.1921 |
| No log | 2.0 | 152 | 1.8505 | 0.4238 |
| No log | 3.0 | 228 | 1.4303 | 0.6887 |
| No log | 4.0 | 304 | 1.0770 | 0.7682 |
| No log | 5.0 | 380 | 0.8012 | 0.8477 |
| No log | 6.0 | 456 | 0.6188 | 0.8609 |
| 1.4872 | 7.0 | 532 | 0.4291 | 0.9205 |
| 1.4872 | 8.0 | 608 | 0.3219 | 0.9338 |
| 1.4872 | 9.0 | 684 | 0.2561 | 0.9536 |
| 1.4872 | 10.0 | 760 | 0.2071 | 0.9536 |
| 1.4872 | 11.0 | 836 | 0.1758 | 0.9603 |
| 1.4872 | 12.0 | 912 | 0.1486 | 0.9603 |
| 1.4872 | 13.0 | 988 | 0.1443 | 0.9603 |
| 0.3011 | 14.0 | 1064 | 0.1384 | 0.9603 |
| 0.3011 | 15.0 | 1140 | 0.1377 | 0.9603 |
| 0.3011 | 16.0 | 1216 | 0.1347 | 0.9603 |
| 0.3011 | 17.0 | 1292 | 0.1267 | 0.9603 |
| 0.3011 | 18.0 | 1368 | 0.1223 | 0.9603 |
| 0.3011 | 19.0 | 1444 | 0.1256 | 0.9603 |
| 0.1494 | 20.0 | 1520 | 0.1239 | 0.9603 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1