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flan-t5-base-humanizer – AI Model by danibor | AlphaNeural AI
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flan-t5-base-humanizer
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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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flan-t5-base-humanizer
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3063
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.4628
1.0
1242
1.3282
1.4504
2.0
2484
1.3112
1.4204
2.9980
3723
1.3063
Framework versions
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0
