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Llama3-8B-SETBOX – AI Model by stlee9048 | AlphaNeural AI
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stlee9048
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Llama3-8B-SETBOX
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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Llama3-8B-SETBOX
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: nan
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
10.0
10
nan
0.0
20.0
20
nan
0.0
30.0
30
nan
0.0
40.0
40
nan
0.0
50.0
50
nan
0.0
60.0
60
nan
0.0
70.0
70
nan
0.0
80.0
80
nan
0.0
90.0
90
nan
0.0
100.0
100
nan
Framework versions
PEFT 0.10.0
Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
