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distilgpt2-finetuned-wikitext2 – AI Model by brwoodside | AlphaNeural AI
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brwoodside
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distilgpt2-finetuned-wikitext2
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of
distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6421
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
3.7602
1.0
2334
3.6669
3.653
2.0
4668
3.6472
3.6006
3.0
7002
3.6421
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
