---
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: 2.3281
- Accuracy: 0.339

## 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: 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: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.09  | 100  | 2.5032          | 0.3117   |
| No log        | 0.18  | 200  | 2.4405          | 0.315    |
| No log        | 0.27  | 300  | 2.4370          | 0.319    |
| No log        | 0.36  | 400  | 2.4321          | 0.322    |
| 2.5244        | 0.45  | 500  | 2.3951          | 0.3087   |
| 2.5244        | 0.54  | 600  | 2.3907          | 0.3207   |
| 2.5244        | 0.63  | 700  | 2.3612          | 0.321    |
| 2.5244        | 0.72  | 800  | 2.3521          | 0.3293   |
| 2.5244        | 0.81  | 900  | 2.3339          | 0.3327   |
| 2.417         | 0.9   | 1000 | 2.3318          | 0.3323   |
| 2.417         | 0.99  | 1100 | 2.3281          | 0.339    |


### Framework versions

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