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# distilgpt2_private-finetuned-wikitext2

This model is a fine-tuned version of [chinhang0104/distilgpt2_private](https://huggingface.co/chinhang0104/distilgpt2_private) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6434

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7501        | 1.0   | 2334 | 3.6669          |
| 3.6498        | 2.0   | 4668 | 3.6464          |
| 3.5868        | 3.0   | 7002 | 3.6434          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "chinhang0104/distilgpt2_private", "model-index": [{"name": "distilgpt2_private-finetuned-wikitext2", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:chinhang0104/distilgpt2_private license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us