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llama2-7b-codealpaca-FullSFT – AI Model by loafeihong | AlphaNeural AI
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llama2-7b-codealpaca-FullSFT
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Llama-2-7b-hf
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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sft
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the codealpaca 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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_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: cosine
lr_scheduler_warmup_ratio: 0.3
num_epochs: 3.0
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.5.1
Datasets 3.6.0
Tokenizers 0.21.1
