---
license: mit
tags:
- generated_from_trainer
model-index:
- name: lora-cs324-length-control
  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. -->

# lora-cs324-length-control

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2118

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5584        | 0.16  | 500  | 3.2567          |
| 3.392         | 0.32  | 1000 | 3.2473          |
| 3.3584        | 0.48  | 1500 | 3.2290          |
| 3.3115        | 0.64  | 2000 | 3.2196          |
| 3.3041        | 0.8   | 2500 | 3.2126          |
| 3.3024        | 0.96  | 3000 | 3.2118          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3