transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: dpt2
  results: []
---

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# dpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.5055

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: sagemaker_data_parallel
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.502         | 0.55  | 500  | 8.4534          |
| 8.0415        | 1.11  | 1000 | 7.9871          |
| 7.7597        | 1.66  | 1500 | 7.7447          |
| 7.6464        | 2.22  | 2000 | 7.6124          |
| 7.5645        | 2.77  | 2500 | 7.5410          |
| 7.5485        | 3.33  | 3000 | 7.5114          |
| 7.5596        | 3.88  | 3500 | 7.5055          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.13.3
