---
library_name: transformers
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: 2.2980
- Accuracy: 0.3679

## 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: 1e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 152  | 2.5214          | 0.2263   |
| No log        | 2.0   | 304  | 2.4518          | 0.2272   |
| No log        | 3.0   | 456  | 2.3823          | 0.3004   |
| 2.461         | 4.0   | 608  | 2.3026          | 0.3432   |
| 2.461         | 5.0   | 760  | 2.2736          | 0.3531   |
| 2.461         | 6.0   | 912  | 2.2958          | 0.3490   |
| 1.7996        | 7.0   | 1064 | 2.2739          | 0.3671   |
| 1.7996        | 8.0   | 1216 | 2.2829          | 0.3737   |
| 1.7996        | 9.0   | 1368 | 2.2985          | 0.3638   |
| 1.3781        | 10.0  | 1520 | 2.2980          | 0.3679   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1