---
library_name: peft
license: mit
base_model: openai-community/gpt2-medium
tags:
- base_model:adapter:openai-community/gpt2-medium
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gpt2-medium-finetuned-qna-crypto-4bit
  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. -->

# gpt2-medium-finetuned-qna-crypto-4bit

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: 7.6678

## Google Colab

https://colab.research.google.com/drive/1fqX_oACBaJ9hOdr7J_LR8Mhqn4XBDhM7?usp=sharing

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 10.1706       | 0.0741 | 2    | 9.9438          |
| 9.9335        | 0.1481 | 4    | 9.7155          |
| 9.6682        | 0.2222 | 6    | 9.4733          |
| 9.4458        | 0.2963 | 8    | 9.2231          |
| 9.1884        | 0.3704 | 10   | 8.9719          |
| 8.8838        | 0.4444 | 12   | 8.7266          |
| 8.7486        | 0.5185 | 14   | 8.4939          |
| 8.3598        | 0.5926 | 16   | 8.2804          |
| 8.1458        | 0.6667 | 18   | 8.0916          |
| 7.9992        | 0.7407 | 20   | 7.9324          |
| 7.8608        | 0.8148 | 22   | 7.8068          |
| 7.7555        | 0.8889 | 24   | 7.7179          |
| 7.6467        | 0.9630 | 26   | 7.6678          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0