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llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-1000-HF – AI Model by ketchup123 | AlphaNeural AI
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llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-1000-HF
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-chat-hf
adapter
llama2
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llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-1000-HF
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 3407
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Framework versions
PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
