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Llama-3-8B-OpenOrca-peft-adapter – AI Model by MuntasirHossain | AlphaNeural AI
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MuntasirHossain
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Llama-3-8B-OpenOrca-peft-adapter
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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Llama-3-8B-OpenOrca-peft-adapter
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3975
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0865
1.0
1425
1.3975
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
