A finetuned version of
GPT2-Medium
on the 'reddit-nosleep-posts' dataset. (Linked above)
TIP
You can find a larger, more capable version of the model here:
GPT-NoSleep-1.5b
Training Procedure
This was trained on the 'reddt-nosleep-posts' dataset, using the "HappyTransformers" library on Google Colab.
This model was trained for X epochs with learning rate 1e-2.
Biases & Limitations
This likely contains the same biases and limitations as the original GPT2 that it is based on, and additionally heavy biases from the dataset.
It likely will generate offensive output.
Intended Use
This model is meant for fun, nothing else.
Sample code
#Import model:from happytransformer import HappyGeneration
happy_gen = HappyGeneration("GPT2", "DarwinAnim8or/GPT-NoSleep-355m")
#Set generation settings:from happytransformer import GENSettings
args_top_k = GENSettingsGENSettings(no_repeat_ngram_size=3, do_sample=True, top_k=80, temperature=0.8, max_length=150, early_stopping=False)
#Generate a response:
result = happy_gen.generate_text("[WP] We don't go to the forest at night [RESPONSE] ", args=args_top_k)
print(result)
print(result.text)
Runs of DarwinAnim8or GPT-NoSleep-355m on huggingface.co
37
Total runs
6
24-hour runs
2
3-day runs
1
7-day runs
10
30-day runs
More Information About GPT-NoSleep-355m huggingface.co Model
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