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tracking_shuffled_objects_three_objects – AI Model by OscarXZQ | AlphaNeural AI

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OscarXZQ/
tracking_shuffled_objects_three_objects

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generated_from_trainer

google/flan-t5-large

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tracking_shuffled_objects_three_objects

This model is a fine-tuned version of google/flan-t5-large on the None 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: 0.0001
train_batch_size: 1
eval_batch_size: 4
seed: 42
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: linear
num_epochs: 10.0

Training results

Framework versions

PEFT 0.14.0
Transformers 4.48.2
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0