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nwn-ue5-expert-base – AI Model by BenjaminPittsley | AlphaNeural AI

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BenjaminPittsley/
nwn-ue5-expert-base

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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nwn-ue5-expert-base

This model is a fine-tuned version of google/flan-t5-base 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: 5e-05
train_batch_size: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1