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cygu-llama-2-7b-logit-watermark-distill-aar-k4-ft-learnability_adv – AI Model by Grogros | AlphaNeural AI
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Grogros
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cygu-llama-2-7b-logit-watermark-distill-aar-k4-ft-learnability_adv
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
openwebtext
cygu/llama-2-7b-logit-watermark-distill-aar-k4
finetune
llama2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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cygu-llama-2-7b-logit-watermark-distill-aar-k4-ft-learnability_adv
This model is a fine-tuned version of
cygu/llama-2-7b-logit-watermark-distill-aar-k4
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2500
Training results
Framework versions
Transformers 4.46.3
Pytorch 2.5.1.post303
Datasets 3.2.0
Tokenizers 0.20.3
