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output – AI Model by RositaNimalin | AlphaNeural AI

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RositaNimalin/
output

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google/flan-t5-small

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output

This model is a fine-tuned version of google/flan-t5-small on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.1110

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1