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distilgpt2-finetuned-wikitext2 – AI Model by SreyanG-NVIDIA | AlphaNeural AI
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SreyanG-NVIDIA
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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: 3.6408
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
3.7592
1.0
2334
3.6646
3.6519
2.0
4668
3.6454
3.601
3.0
7002
3.6408
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
