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distilgpt2-finetuned-wikitext2 – AI Model by sck | AlphaNeural AI
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distilgpt2-finetuned-wikitext2
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transformers
pytorch
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: 3.6662
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: 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
3.9112
1.0
584
3.6974
3.7481
2.0
1168
3.6722
3.703
3.0
1752
3.6662
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1
Datasets 2.13.0
Tokenizers 0.13.3
