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llama-2-7b-logit-watermark-distill-kgw-k1-gamma0.25-delta1.75 – AI Model by mbakshi1094 | AlphaNeural AI
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mbakshi1094
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llama-2-7b-logit-watermark-distill-kgw-k1-gamma0.25-delta1.75
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pytorch
llama
generated_from_trainer
Skylion007/openwebtext
llama2
us
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llama-2-7b-logit-watermark-distill-kgw-k1-gamma0.25-delta1.75
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the Skylion007/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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 5000
Training results
Framework versions
Transformers 4.29.2
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.13.3
