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v35_v29_cot_r3_balanced_lr6e7_ep10 – AI Model by lldois | AlphaNeural AI

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lldois/
v35_v29_cot_r3_balanced_lr6e7_ep10

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text-generation

generated_from_trainer

lldois/v29_v19_user_world_guard_lr8e7_ep018

text-generation-inference

endpoints_compatible

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v35_v29_cot_r3_balanced_lr6e7_ep10

This model is a fine-tuned version of lldois/v29_v19_user_world_guard_lr8e7_ep018 on the exp_v35_cot_r3_balanced 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: 6e-07
train_batch_size: 1
eval_batch_size: 8
seed: 202607185
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: 1.0

Training results

Framework versions

Transformers 5.6.0
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.2