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gpt2-finetuned-wikitext2 – AI Model by lengoctuong | AlphaNeural AI
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gpt2-finetuned-wikitext2
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
gpt2
on the None dataset.
It achieves the following results on the evaluation set:
Loss: 3.3943
Perplexity: 29.7930
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
optimizer: AdamW
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.9315
1.0
49
3.6200
3.8128
1.0
112
3.4878
3.5448
2.0
195
3.4476
3.4743
2.0
258
3.4325
3.5040
3.0
391
3.4216
3.4371
3.0
404
3.4142
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
