---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: workornot
  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. -->

# workornot

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3372
- Accuracy: 0.856

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.6385          | 0.787    |
| No log        | 2.0   | 250  | 0.5578          | 0.808    |
| No log        | 3.0   | 375  | 0.4489          | 0.818    |
| 0.5423        | 4.0   | 500  | 0.3610          | 0.843    |
| 0.5423        | 5.0   | 625  | 0.3374          | 0.855    |
| 0.5423        | 6.0   | 750  | 0.3365          | 0.854    |
| 0.5423        | 7.0   | 875  | 0.3331          | 0.857    |
| 0.3101        | 8.0   | 1000 | 0.3359          | 0.857    |
| 0.3101        | 9.0   | 1125 | 0.3377          | 0.855    |
| 0.3101        | 10.0  | 1250 | 0.3372          | 0.856    |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2