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# distilgpt2_private-finetuned-econometrics

This model is a fine-tuned version of [chinhang0104/distilgpt2_private](https://huggingface.co/chinhang0104/distilgpt2_private) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6116

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8829        | 1.0   | 1250 | 0.5974          |
| 1.7968        | 2.0   | 2500 | 0.6073          |
| 1.8071        | 3.0   | 3750 | 0.6116          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3

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