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fine_tune-llama3-pricer-size8000 – AI Model by Codexankit | AlphaNeural AI
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Codexankit
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fine_tune-llama3-pricer-size8000
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peft
safetensors
adapter
lora
sft
transformers
trl
text-generation
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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llama3-pricer-2025-08-12_17.41.59-size8000
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Framework versions
PEFT 0.17.0
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
