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Grogros-gpt2-kgw-k1-delta2.0-Scratch-ft-learnability_adv-lora – AI Model by Grogros | AlphaNeural AI
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Grogros-gpt2-kgw-k1-delta2.0-Scratch-ft-learnability_adv-lora
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peft
tensorboard
safetensors
generated_from_trainer
openwebtext
Grogros/gpt2-kgw-k1-delta2.0-Scratch
adapter
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Grogros-gpt2-kgw-k1-delta2.0-Scratch-ft-learnability_adv-lora
This model is a fine-tuned version of
Grogros/gpt2-kgw-k1-delta2.0-Scratch
on the openwebtext 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: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2500
Training results
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.1.post302
Datasets 3.0.1
Tokenizers 0.20.1
