---
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: 2.5779
- Accuracy: 0.2597

## 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-05
- train_batch_size: 20
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.09  | 200  | 2.6170          | 0.2412   |
| No log        | 0.19  | 400  | 2.6193          | 0.2412   |
| No log        | 0.28  | 600  | 2.6109          | 0.2519   |
| No log        | 0.37  | 800  | 2.5937          | 0.2551   |
| No log        | 0.47  | 1000 | 2.5840          | 0.2607   |
| No log        | 0.56  | 1200 | 2.5814          | 0.2620   |
| No log        | 0.66  | 1400 | 2.5889          | 0.2535   |
| No log        | 0.75  | 1600 | 2.5779          | 0.2595   |
| No log        | 0.84  | 1800 | 2.5752          | 0.2622   |
| 2.4849        | 0.94  | 2000 | 2.5779          | 0.2597   |


### Framework versions

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