Share more details on fine-tuning GPT-2 on WikiText-2 ?
Hello! Regarding https://github.com/huggingface/transformers/tree/master/examples#gpt-2gpt-and-causal-language-modeling, would you mind sharing what hyper-parameters you use to get this result ? How many epochs, what's the batch size? etc...
@xihui-wu To get the hyperparameters specific to the model (in this case `gpt2`), you can check the config file of `gpt2` with the code below:

```
from transformers import GPT2Config
print(GPT2Config())
```

Some higher level hyperparameters are still not included here (e.g. "epochs"). These can be set explicitly as arguments when running the CLI `run_language_modeling.py`; otherwise, the default values are used.

You can find the hyperparameters and their default values at the beginning of the `main` function in [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/run_language_modeling.py). For example, the default epoch count (`num_train_epochs`) is 1.

Hope this helps!<|||||>> @xihui-wu To get the hyperparameters specific to the model (in this case `gpt2`), you can check the config file of `gpt2` with the code below:
> 
> ```
> from transformers import GPT2Config
> print(GPT2Config())
> ```
> 
> Some higher level hyperparameters are still not included here (e.g. "epochs"). These can be set explicitly as arguments when running the CLI `run_language_modeling.py`; otherwise, the default values are used.
> 
> You can find the hyperparameters and their default values at the beginning of the `main` function in [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/run_language_modeling.py). For example, the default epoch count (`num_train_epochs`) is 1.
> 
> Hope this helps!

Thanks a lot @enzoampil! Do you know what hyper-parameters to get the result: "This takes about half an hour to train on a single K80 GPU and about one minute for the evaluation to run. It reaches a score of ~20 perplexity once fine-tuned on the dataset." ?<|||||>@xihui-wu  This result comes from running the default training script with no explicitly specified hyperparameters; therefore, the **default** hyperparameters will apply. 

>You can find the hyperparameters and their default values at the beginning of the main function in [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/run_language_modeling.py). For example, the default epoch count (num_train_epochs) is 1.

For reference, this is the code snippet that fine-tunes `gpt2` with the default hyperparameters.
```
export TRAIN_FILE=/path/to/dataset/wiki.train.raw
export TEST_FILE=/path/to/dataset/wiki.test.raw

python run_language_modeling.py \
    --output_dir=output \
    --model_type=gpt2 \
    --model_name_or_path=gpt2 \
    --do_train \
    --train_data_file=$TRAIN_FILE \
    --do_eval \
    --eval_data_file=$TEST_FILE
```<|||||>> @xihui-wu This result comes from running the default training script with no explicitly specified hyperparameters; therefore, the **default** hyperparameters will apply.
> 
> > You can find the hyperparameters and their default values at the beginning of the main function in [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/run_language_modeling.py). For example, the default epoch count (num_train_epochs) is 1.
> 
> For reference, this is the code snippet that fine-tunes `gpt2` with the default hyperparameters.
> 
> ```
> export TRAIN_FILE=/path/to/dataset/wiki.train.raw
> export TEST_FILE=/path/to/dataset/wiki.test.raw
> 
> python run_language_modeling.py \
>     --output_dir=output \
>     --model_type=gpt2 \
>     --model_name_or_path=gpt2 \
>     --do_train \
>     --train_data_file=$TRAIN_FILE \
>     --do_eval \
>     --eval_data_file=$TEST_FILE
> ```

I got GPU memory error with k80 on this, what's the batch_size and how can I configure?<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
<|||||>> > @xihui-wu This result comes from running the default training script with no explicitly specified hyperparameters; therefore, the **default** hyperparameters will apply.
> > > You can find the hyperparameters and their default values at the beginning of the main function in [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/run_language_modeling.py). For example, the default epoch count (num_train_epochs) is 1.
> > 
> > 
> > For reference, this is the code snippet that fine-tunes `gpt2` with the default hyperparameters.
> > ```
> > export TRAIN_FILE=/path/to/dataset/wiki.train.raw
> > export TEST_FILE=/path/to/dataset/wiki.test.raw
> > 
> > python run_language_modeling.py \
> >     --output_dir=output \
> >     --model_type=gpt2 \
> >     --model_name_or_path=gpt2 \
> >     --do_train \
> >     --train_data_file=$TRAIN_FILE \
> >     --do_eval \
> >     --eval_data_file=$TEST_FILE
> > ```
> 
> I got GPU memory error with k80 on this, what's the batch_size and how can I configure?

You can use a per_device_train_batch_size=1, worked for me on a K80