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v108_v74_leaf_itemic_logit_scale097 – AI Model by lldois | AlphaNeural AI

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lldois/
v108_v74_leaf_itemic_logit_scale097

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text-generation

OpenOneRec/OneReason-0.8B-pretrain-competition

text-generation-inference

endpoints_compatible

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v74_public091_rslora_loraplus_r128_a16_lr1e5_x16_ep3

This model is a fine-tuned version of OpenOneRec/OneReason-0.8B-pretrain-competition on the exp_v49_public_091_exact 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: 1
eval_batch_size: 8
seed: 202607208
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 3.0

Training results

Framework versions

PEFT 0.18.1
Transformers 5.6.0
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.2