t5-large-fft – AI Model by devcnn5 | AlphaNeural AI

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devcnn5/
t5-large-fft

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text2text-generation

generated_from_trainer

google/flan-t5-large

text-generation-inference

endpoints_compatible

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t5-large-fft

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

Loss: 0.0427

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: 16
eval_batch_size: 16
seed: 42
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
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.0725	0.2	500	0.1335
0.0884	0.4	1000	0.0830
0.0535	0.6	1500	0.0643
0.0713	0.8	2000	0.0449
0.0486	1.0	2500	0.0437
0.041	1.2	3000	0.0433
0.0478	1.4	3500	0.0430
0.0472	1.6	4000	0.0428
0.0461	1.8	4500	0.0427
0.0667	2.0	5000	0.0427

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0