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nor_finetune_full – AI Model by SushantGautam | AlphaNeural AI

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SushantGautam/
nor_finetune_full

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text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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nor_finetune_full

This model was trained from scratch on an unknown 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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1