---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: office-character
  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. -->

# office-character

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: 2.4817
- Accuracy: 0.1787

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5596        | 0.2   | 60   | 2.5272          | 0.1201   |
| 2.5284        | 0.4   | 120  | 2.5153          | 0.1206   |
| 2.4807        | 0.6   | 180  | 2.4858          | 0.1449   |
| 2.4921        | 0.8   | 240  | 2.5119          | 0.1201   |
| 2.4656        | 1.0   | 300  | 2.4461          | 0.1636   |
| 2.3184        | 1.2   | 360  | 2.4390          | 0.1671   |
| 2.2852        | 1.4   | 420  | 2.4665          | 0.1575   |
| 2.2561        | 1.59  | 480  | 2.4464          | 0.1731   |
| 2.2903        | 1.79  | 540  | 2.4487          | 0.1752   |
| 2.242         | 1.99  | 600  | 2.4399          | 0.1731   |
| 2.0247        | 2.19  | 660  | 2.4595          | 0.1777   |
| 2.0127        | 2.39  | 720  | 2.4709          | 0.1731   |
| 1.9785        | 2.59  | 780  | 2.4754          | 0.1752   |
| 2.0006        | 2.79  | 840  | 2.4717          | 0.1843   |
| 1.9937        | 2.99  | 900  | 2.4817          | 0.1787   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3