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gpt2-poem_key_words – AI Model by guhuawuli | AlphaNeural AI
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gpt2-poem_key_words
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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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gpt2-poem_key_words
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.5370
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: 32
eval_batch_size: 32
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
2.9544
1.0
670
2.6296
2.7014
2.0
1340
2.5557
2.6035
3.0
2010
2.5370
Framework versions
Transformers 4.18.0
Pytorch 1.10.0a0+3fd9dcf
Datasets 2.1.0
Tokenizers 0.12.1
