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Meta-Llama-3-8B-Notechat-2r-0.01train-dataset – AI Model by tanatapanun | AlphaNeural AI
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Meta-Llama-3-8B-Notechat-2r-0.01train-dataset
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Meta-Llama-3-8B-Notechat-2r-0.01train-dataset
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
