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results – AI Model by ConBle | AlphaNeural AI
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results
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
distilbert/distilgpt2
adapter
apache-2.0
us
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results
This model is a fine-tuned version of
distilgpt2
on an unknown dataset.
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 25
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
