textsight-humanizer-t5-large – AI Model by textsightai | AlphaNeural AI

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textsightai/
textsight-humanizer-t5-large

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text2text-generation

generated_from_trainer

google-t5/t5-large

text-generation-inference

endpoints_compatible

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textsight-humanizer-t5-large

This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0000

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.0074	0.3368	400	0.0086
0.0002	0.6737	800	0.0000
0.0001	1.0101	1200	0.0000
0.0000	1.3469	1600	0.0000
0.0000	1.6838	2000	0.0000
0.0000	2.0202	2400	0.0000
0.0004	2.3571	2800	0.0000
0.0000	2.6939	3200	0.0000

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2