---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: distilbert/distilbert-base-uncased
datasets:
- swag
metrics:
- accuracy
model-index:
- name: fine-tuned-distilbert-base-uncased-swag-peft
  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. -->

# fine-tuned-distilbert-base-uncased-swag-peft

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the swag dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8483
- Accuracy: 0.6567

## 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: 16
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.012         | 1.0   | 4597  | 0.8999          | 0.6374   |
| 0.9634        | 2.0   | 9194  | 0.8617          | 0.6512   |
| 0.955         | 3.0   | 13791 | 0.8483          | 0.6567   |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1