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distilgpt2-wikitext2 – AI Model by Intel | AlphaNeural AI

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Intel/
distilgpt2-wikitext2

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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distilgpt2-wikitext2

This model is a fine-tuned version of distilgpt2 on the wikitext wikitext-2-raw-v1 dataset. It achieves the following results on the evaluation set:

Loss: 3.3259
Accuracy: 0.3932
perplexity: 27.8235

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: 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

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.12.1