---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-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. -->

# my_awesome_eli5_clm-model

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7706

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.0085        | 0.13  | 500   | 3.8586          |
| 3.9418        | 0.25  | 1000  | 3.8368          |
| 3.9257        | 0.38  | 1500  | 3.8236          |
| 3.9012        | 0.51  | 2000  | 3.8139          |
| 3.9131        | 0.63  | 2500  | 3.8052          |
| 3.8947        | 0.76  | 3000  | 3.7976          |
| 3.8943        | 0.88  | 3500  | 3.7912          |
| 3.8809        | 1.01  | 4000  | 3.7887          |
| 3.8243        | 1.14  | 4500  | 3.7877          |
| 3.8251        | 1.26  | 5000  | 3.7854          |
| 3.822         | 1.39  | 5500  | 3.7824          |
| 3.8141        | 1.52  | 6000  | 3.7808          |
| 3.8243        | 1.64  | 6500  | 3.7785          |
| 3.8108        | 1.77  | 7000  | 3.7762          |
| 3.8059        | 1.89  | 7500  | 3.7755          |
| 3.7984        | 2.02  | 8000  | 3.7765          |
| 3.7866        | 2.15  | 8500  | 3.7747          |
| 3.7761        | 2.27  | 9000  | 3.7746          |
| 3.7764        | 2.4   | 9500  | 3.7727          |
| 3.779         | 2.53  | 10000 | 3.7727          |
| 3.7744        | 2.65  | 10500 | 3.7719          |
| 3.7685        | 2.78  | 11000 | 3.7708          |
| 3.7694        | 2.9   | 11500 | 3.7706          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0