
# GPT-NoSleep-355m
A finetuned version of [GPT2-Medium](https://huggingface.co/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](https://huggingface.co/DarwinAnim8or/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
```python
#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)
```
{"language": ["en"], "license": "mit", "tags": ["fun", "horror", "writing"], "datasets": ["chloeliu/reddit_nosleep_posts"], "widget": [{"text": "[WP] We don't go to ravenholm anymore [RESPONSE] ", "example_title": "[WP] We don't go to ravenholm anymore [RESPONSE] "}], "co2_eq_emissions": {"emissions": 60, "source": "https://mlco2.github.io/impact/#compute", "training_type": "fine-tuning", "geographical_location": "Oregon, USA", "hardware_used": "1 T4, Google Colab"}}
transformers pytorch safetensors gpt2 text-generation fun horror writing en dataset:chloeliu/reddit_nosleep_posts license:mit co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #fun #horror #writing #en #dataset-chloeliu/reddit_nosleep_posts #license-mit #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# GPT-NoSleep-355m
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

# GPT-NoSleep-355m
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
TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #fun #horror #writing #en #dataset-chloeliu/reddit_nosleep_posts #license-mit #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # GPT-NoSleep-355m
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
TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #fun #horror #writing #en #dataset-chloeliu/reddit_nosleep_posts #license-mit #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# GPT-NoSleep-355m
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