---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_keras_callback
model-index:
- name: chunwoolee0/distilgpt2_eli5_clm
  results: []
---



# chunwoolee0/distilgpt2_eli5_clm

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) 
on an eli5 dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.7237
- Validation Loss: 3.7528
- Epoch: 2

## Model description

DistilGPT2 is an English-language model pre-trained with the supervision of the 124 million parameter version of GPT-2. DistilGPT2, which has 82 million parameters, was developed using knowledge distillation and was designed to be a faster, lighter version of GPT-2.

## Intended uses & limitations

This is an exercise for finetuning of the pretrained causal language model. 

## Training and evaluation data



## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.9048     | 3.7838          | 0     |
| 3.7853     | 3.7647          | 1     |
| 3.7237     | 3.7528          | 2     |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3