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Llama3_instruct_on_scigen – AI Model by moetezsa | AlphaNeural AI
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Llama3_instruct_on_scigen
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peft
tensorboard
safetensors
trl
sft
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meta-llama/Meta-Llama-3-8B-Instruct
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Llama3_instruct_on_scigen
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
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: 1e-06
train_batch_size: 2
eval_batch_size: 8
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: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 30
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.19.1
