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results – AI Model by jackhogan | AlphaNeural AI
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peft
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meta-llama/Llama-2-7b-hf
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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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 10
Training results
Framework versions
PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.0.1
Datasets 2.17.1
Tokenizers 0.15.2
