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gpt2.shak – AI Model by jchwenger | AlphaNeural AI
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jchwenger
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gpt2.shak
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
tiny_shakespeare
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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gpt2.shak
This model is a fine-tuned version of
gpt2
on the tiny_shakespeare dataset. It achieves the following results on the evaluation set:
Loss: 3.1852
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: 3e-05
train_batch_size: 3
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
Training results
Training Loss
Epoch
Step
Validation Loss
3.3259
1.0
98
3.2194
3.3527
2.0
196
3.2017
3.1783
3.0
294
3.1900
3.2653
4.0
392
3.1863
3.2787
5.0
490
3.1852
Framework versions
Transformers 4.35.1
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.14.1