model-classification-t5-small-2025-12-05 – AI Model by penelitianpsmatematika | AlphaNeural AI

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penelitianpsmatematika/
model-classification-t5-small-2025-12-05

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text2text-generation

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google-t5/t5-small

text-generation-inference

endpoints_compatible

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model-classification-t5-small-2025-12-05

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

Loss: 0.1688

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: 5e-05
train_batch_size: 16
eval_batch_size: 256
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.541	1.0	296	0.4062
0.3501	2.0	592	0.2352
0.2795	3.0	888	0.1913
0.2375	4.0	1184	0.1797
0.2128	5.0	1480	0.1752
0.1901	6.0	1776	0.1710
0.2076	7.0	2072	0.1700
0.1939	8.0	2368	0.1691
0.1847	9.0	2664	0.1687
0.2008	10.0	2960	0.1688

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1