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v103_v74_official32_logit_calibrated – AI Model by lldois | AlphaNeural AI
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lldois
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v103_v74_official32_logit_calibrated
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peft
safetensors
qwen3
text-generation
adapter
llama-factory
lora
transformers
conversational
OpenOneRec/OneReason-0.8B-pretrain-competition
other
text-generation-inference
endpoints_compatible
us
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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
