---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: openai-community/gpt2-medium
model-index:
- name: finetuned-model
  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. -->

# finetuned-model

This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5251

## 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: 2e-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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 440  | 0.5692          |
| 0.6344        | 2.0   | 880  | 0.5346          |
| 0.5737        | 3.0   | 1320 | 0.5251          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0