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distilgpt2-finetuned-wikitext2 – AI Model by jordanperu | AlphaNeural AI | AlphaNeural AI
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distilgpt2-finetuned-wikitext2
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
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: 4.5310
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
443
4.6466
4.9027
2.0
886
4.5556
4.6485
3.0
1329
4.5310
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
