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pickuplines – AI Model by gagan3012 | AlphaNeural AI
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gagan3012
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pickuplines
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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pickuplines
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.7873
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100.0
Training results
Framework versions
Transformers 4.12.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3
