---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
library_name: peft
model-index:
- name: distilgpt2-lora-text-classification
  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. -->

# distilgpt2-lora-text-classification

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5596
- Rougel F1: 0.0

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 | Rougel F1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 83   | 7.1013          | 0.0       |
| No log        | 2.0   | 166  | 6.9855          | 0.0       |
| No log        | 3.0   | 249  | 6.8850          | 0.0       |
| No log        | 4.0   | 332  | 6.7975          | 0.0       |
| No log        | 5.0   | 415  | 6.7247          | 0.0       |
| No log        | 6.0   | 498  | 6.6657          | 0.0       |
| 7.0748        | 7.0   | 581  | 6.6194          | 0.0       |
| 7.0748        | 8.0   | 664  | 6.5859          | 0.0       |
| 7.0748        | 9.0   | 747  | 6.5662          | 0.0       |
| 7.0748        | 10.0  | 830  | 6.5596          | 0.0       |


### Framework versions

- PEFT 0.14.0
- Transformers 4.43.4
- Pytorch 2.6.0
- Datasets 2.19.2
- Tokenizers 0.19.1