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humanizerpro-demo – AI Model by patelmeet20112000 | AlphaNeural AI
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humanizerpro-demo
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4634
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
1.2
1.0
126
1.0202
0.7713
2.0
252
0.7089
0.3558
3.0
378
0.5640
0.314
4.0
504
0.4815
0.2293
5.0
630
0.4566
0.1782
6.0
756
0.4364
0.1557
7.0
882
0.4478
0.1461
8.0
1008
0.4634
Framework versions
Transformers 4.44.2
Pytorch 2.11.0+cu128
Datasets 2.20.0
Tokenizers 0.19.1
