---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
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: 2.4745
- Accuracy: 0.1565
- F1: 0.1477

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.5676        | 0.26  | 100  | 2.5803          | 0.0774   | 0.0111 |
| 2.5531        | 0.51  | 200  | 2.5176          | 0.1252   | 0.0967 |
| 2.5032        | 0.77  | 300  | 2.4914          | 0.1322   | 0.1155 |
| 2.4291        | 1.03  | 400  | 2.4709          | 0.1391   | 0.1223 |
| 2.2983        | 1.28  | 500  | 2.4680          | 0.1504   | 0.1415 |
| 2.2439        | 1.54  | 600  | 2.4774          | 0.1478   | 0.1415 |
| 2.1867        | 1.79  | 700  | 2.4745          | 0.1565   | 0.1477 |


### Framework versions

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