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data-filtering-challenge-2025-model – AI Model by HaoxinranYu | AlphaNeural AI
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data-filtering-challenge-2025-model
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peft
safetensors
generated_from_trainer
customized
data4elm/Llama-400M-12L
adapter
apache-2.0
us
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finetune
This model is a fine-tuned version of
data4elm/Llama-400M-12L
on the customized 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-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 192
total_eval_batch_size: 64
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 2.14.6
Tokenizers 0.22.1
