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sft – AI Model by yunus-emre | AlphaNeural AI
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yunus-emre
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sft
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
us
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ft-Llama2-with-stack-exchange-paired
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the umarigan/falcon_feedback_instraction_Turkish 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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
