---
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: 0.1049
- 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   | 2.2043          | 0.1720   |
| No log        | 2.0   | 158  | 1.8878          | 0.4331   |
| No log        | 3.0   | 237  | 1.4540          | 0.6624   |
| No log        | 4.0   | 316  | 1.1512          | 0.7134   |
| No log        | 5.0   | 395  | 0.8028          | 0.8153   |
| No log        | 6.0   | 474  | 0.5610          | 0.8854   |
| 1.5247        | 7.0   | 553  | 0.4031          | 0.9299   |
| 1.5247        | 8.0   | 632  | 0.3275          | 0.9172   |
| 1.5247        | 9.0   | 711  | 0.2420          | 0.9363   |
| 1.5247        | 10.0  | 790  | 0.1941          | 0.9490   |
| 1.5247        | 11.0  | 869  | 0.1656          | 0.9682   |
| 1.5247        | 12.0  | 948  | 0.1444          | 0.9682   |
| 0.3164        | 13.0  | 1027 | 0.1325          | 0.9682   |
| 0.3164        | 14.0  | 1106 | 0.1194          | 0.9682   |
| 0.3164        | 15.0  | 1185 | 0.1145          | 0.9682   |
| 0.3164        | 16.0  | 1264 | 0.1138          | 0.9682   |
| 0.3164        | 17.0  | 1343 | 0.1101          | 0.9682   |
| 0.3164        | 18.0  | 1422 | 0.1074          | 0.9682   |
| 0.1327        | 19.0  | 1501 | 0.1050          | 0.9682   |
| 0.1327        | 20.0  | 1580 | 0.1049          | 0.9682   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1