---
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-model
  results: []
---

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# 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: 3.7387

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8743        | 1.0   | 1120 | 3.7583          |
| 3.7694        | 2.0   | 2240 | 3.7403          |
| 3.7272        | 3.0   | 3360 | 3.7387          |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0