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ft_llama-3 – AI Model by AIEmbracer | AlphaNeural AI
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AIEmbracer
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ft_llama-3
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peft
tensorboard
safetensors
roberta
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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sawyer-llama-3
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Model Preparation Time: 0.0037
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: 2
eval_batch_size: 4
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
0.0
1.0
5188
nan
0.0037
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
