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: 0.0840
- Accuracy: 0.9682
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 | 79 | 2.2062 | 0.2739 |
| No log | 2.0 | 158 | 2.0045 | 0.4076 |
| No log | 3.0 | 237 | 1.6355 | 0.5414 |
| No log | 4.0 | 316 | 1.2068 | 0.6624 |
| No log | 5.0 | 395 | 0.7999 | 0.8408 |
| No log | 6.0 | 474 | 0.5501 | 0.8917 |
| 1.5743 | 7.0 | 553 | 0.3843 | 0.9299 |
| 1.5743 | 8.0 | 632 | 0.2837 | 0.9427 |
| 1.5743 | 9.0 | 711 | 0.2162 | 0.9554 |
| 1.5743 | 10.0 | 790 | 0.1692 | 0.9682 |
| 1.5743 | 11.0 | 869 | 0.1464 | 0.9682 |
| 1.5743 | 12.0 | 948 | 0.1195 | 0.9682 |
| 0.2976 | 13.0 | 1027 | 0.1085 | 0.9682 |
| 0.2976 | 14.0 | 1106 | 0.0934 | 0.9682 |
| 0.2976 | 15.0 | 1185 | 0.0940 | 0.9682 |
| 0.2976 | 16.0 | 1264 | 0.0869 | 0.9682 |
| 0.2976 | 17.0 | 1343 | 0.0844 | 0.9682 |
| 0.2976 | 18.0 | 1422 | 0.0844 | 0.9682 |
| 0.1102 | 19.0 | 1501 | 0.0822 | 0.9682 |
| 0.1102 | 20.0 | 1580 | 0.0840 | 0.9682 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1