---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- Langame/starter
model-index:
- name: distilgpt2-starter
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-starter

This model is a fine-tuned version of [distilgpt2](https://huggingface.co./distilgpt2) on the Langame/starter dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3145

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0

### Training results



### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.1
- Tokenizers 0.11.0