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Llama-2-7b-hf-LOO_WITH_FEW_headlines-seed28-2024-12-24 – AI Model by morturr | AlphaNeural AI
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morturr
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Llama-2-7b-hf-LOO_WITH_FEW_headlines-seed28-2024-12-24
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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Llama-2-7b-hf-LOO_WITH_FEW_headlines-seed28-2024-12-24
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None 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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 28
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
training_steps: 200
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.0.2
Tokenizers 0.20.1
