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foundation_sec_8B_lora_qkv_o_gate_up_down_rank_256 – AI Model by vivektyagiibm | AlphaNeural AI
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foundation_sec_8B_lora_qkv_o_gate_up_down_rank_256
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
codellama/CodeLlama-7b-hf
adapter
llama2
us
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foundation_sec_8B_lora_qkv_o_gate_up_down_rank_256
This model is a fine-tuned version of
codellama/CodeLlama-7b-hf
on the generator 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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.7.2.dev0
Transformers 4.36.2
Pytorch 2.3.1
Datasets 2.16.1
Tokenizers 0.15.2
