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v26_v21_product_rec_rebalance_lr22e6_ep032 – AI Model by lldois | AlphaNeural AI

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lldois/
v26_v21_product_rec_rebalance_lr22e6_ep032

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text-generation

generated_from_trainer

lldois/v21_v15_user_repair_rec_fast_lr4e6_ep055

text-generation-inference

endpoints_compatible

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v26_v21_product_rec_rebalance_lr22e6_ep032

This model is a fine-tuned version of lldois/v21_v15_user_repair_rec_fast_lr4e6_ep055 on the exp_v21_product_rec_rebalance 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: 2.2e-06
train_batch_size: 1
eval_batch_size: 8
seed: 202607261
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: 0.02
num_epochs: 0.32

Training results

Framework versions

Transformers 5.6.0
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.2