---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: interview_classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# interview_classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0333
- Accuracy: 1.0

## 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   | 54   | 2.2119          | 0.1852   |
| No log        | 2.0   | 108  | 2.0620          | 0.3704   |
| No log        | 3.0   | 162  | 1.7627          | 0.7037   |
| No log        | 4.0   | 216  | 1.4448          | 0.7685   |
| No log        | 5.0   | 270  | 1.1397          | 0.8889   |
| No log        | 6.0   | 324  | 0.8434          | 0.9167   |
| No log        | 7.0   | 378  | 0.6044          | 0.9444   |
| No log        | 8.0   | 432  | 0.4223          | 0.9907   |
| No log        | 9.0   | 486  | 0.2967          | 0.9907   |
| 1.3767        | 10.0  | 540  | 0.2077          | 0.9907   |
| 1.3767        | 11.0  | 594  | 0.1528          | 1.0      |
| 1.3767        | 12.0  | 648  | 0.1135          | 1.0      |
| 1.3767        | 13.0  | 702  | 0.0851          | 1.0      |
| 1.3767        | 14.0  | 756  | 0.0661          | 1.0      |
| 1.3767        | 15.0  | 810  | 0.0548          | 1.0      |
| 1.3767        | 16.0  | 864  | 0.0449          | 1.0      |
| 1.3767        | 17.0  | 918  | 0.0399          | 1.0      |
| 1.3767        | 18.0  | 972  | 0.0358          | 1.0      |
| 0.1191        | 19.0  | 1026 | 0.0339          | 1.0      |
| 0.1191        | 20.0  | 1080 | 0.0333          | 1.0      |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1