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meta-llama_Llama-2-7b-hf_qa_ds1000_upsample1000 – AI Model by YWZBrandon | AlphaNeural AI
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meta-llama_Llama-2-7b-hf_qa_ds1000_upsample1000
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peft
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
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meta-llama_Llama-2-7b-hf_qa_ds1000_upsample1000
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown 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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
