---
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: 2.3478
- Accuracy: 0.3247

## 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: 3.3e-06
- train_batch_size: 8
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4973        | 0.18  | 200  | 2.4079          | 0.3173   |
| 2.4484        | 0.36  | 400  | 2.4126          | 0.3077   |
| 2.398         | 0.54  | 600  | 2.3910          | 0.314    |
| 2.4151        | 0.72  | 800  | 2.3812          | 0.317    |
| 2.3982        | 0.9   | 1000 | 2.3672          | 0.327    |
| 2.3402        | 1.08  | 1200 | 2.3622          | 0.3263   |
| 2.3362        | 1.26  | 1400 | 2.3591          | 0.3253   |
| 2.3865        | 1.43  | 1600 | 2.3641          | 0.3177   |
| 2.3623        | 1.61  | 1800 | 2.3553          | 0.3253   |
| 2.3528        | 1.79  | 2000 | 2.3576          | 0.3213   |
| 2.3225        | 1.97  | 2200 | 2.3488          | 0.3257   |
| 2.342         | 2.15  | 2400 | 2.3486          | 0.326    |
| 2.3279        | 2.33  | 2600 | 2.3588          | 0.3197   |
| 2.3177        | 2.51  | 2800 | 2.3472          | 0.3217   |
| 2.3509        | 2.69  | 3000 | 2.3483          | 0.3273   |
| 2.325         | 2.87  | 3200 | 2.3478          | 0.3247   |


### Framework versions

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