---
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: 2.7752
- Accuracy: 0.1429

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.8784        | 0.2   | 60   | 2.8602          | 0.0807   |
| 2.8535        | 0.4   | 120  | 2.8465          | 0.0971   |
| 2.8292        | 0.6   | 180  | 2.8197          | 0.1004   |
| 2.7971        | 0.8   | 240  | 2.8041          | 0.1037   |
| 2.7996        | 1.0   | 300  | 2.7861          | 0.1227   |
| 2.668         | 1.2   | 360  | 2.7832          | 0.1288   |
| 2.6317        | 1.4   | 420  | 2.7636          | 0.1309   |
| 2.6236        | 1.59  | 480  | 2.7676          | 0.1315   |
| 2.571         | 1.79  | 540  | 2.7519          | 0.1326   |
| 2.5832        | 1.99  | 600  | 2.7572          | 0.1358   |
| 2.3685        | 2.19  | 660  | 2.7616          | 0.1484   |
| 2.376         | 2.39  | 720  | 2.7727          | 0.1429   |
| 2.3499        | 2.59  | 780  | 2.7808          | 0.1391   |
| 2.3561        | 2.79  | 840  | 2.7736          | 0.1451   |
| 2.3265        | 2.99  | 900  | 2.7752          | 0.1429   |


### Framework versions

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