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gpt2pac – AI Model by stecas | AlphaNeural AI
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stecas
/
gpt2pac
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2pac
This model was created by finetuning
GPT-2-xl
on the lyrics of 824 Tupac Shakur songs from
https://lyrics.az/2pac/allsongs.html
.
data
All unfiltered data from
https://lyrics.az/2pac/allsongs.html
are in
2pac_lyrics.json
. However, I filtered some of these out of the model's training data because they were too short, not songs, etc.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0001
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: 5
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
