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Finetune-RobertFrost – AI Model by tomatotime23 | AlphaNeural AI
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Finetune-RobertFrost
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
prajwalcr/poetry_gpt2
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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Finetune-RobertFrost
This model is a fine-tuned version of
prajwalcr/poetry_gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.4663
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: 2e-05
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
40
4.5430
No log
2.0
80
4.4799
No log
3.0
120
4.4663
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cpu
Datasets 2.14.6
Tokenizers 0.14.1