T5-JSON-OM-IMP – AI Model by trungpq | AlphaNeural AI

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trungpq/
T5-JSON-OM-IMP

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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T5-JSON-OM-IMP

This model is a fine-tuned version of T5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0946
Micro Precision: 0.3295
Micro Recall: 0.3853
Micro F1: 0.3552
Macro Precision: 0.3295
Macro Recall: 0.3853
Macro F1: 0.3552
Bleu: 77.6645
Rouge1: 0.7910
Rouge2: 0.5470

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Micro Precision	Micro Recall	Micro F1	Macro Precision	Macro Recall	Macro F1	Bleu	Rouge1	Rouge2
0.1167	1.0	468	0.0975	0.2817	0.4680	0.3517	0.2817	0.4680	0.3517	75.2453	0.7657	0.5238
0.1103	2.0	936	0.0953	0.2956	0.4421	0.3543	0.2956	0.4421	0.3543	75.8760	0.7700	0.5180
0.1022	3.0	1404	0.0941	0.2897	0.4452	0.3510	0.2897	0.4452	0.3510	75.7205	0.7651	0.5213
0.1072	4.0	1872	0.0946	0.3295	0.3853	0.3552	0.3295	0.3853	0.3552	77.6645	0.7910	0.5470

Framework versions

Transformers 4.51.1
Pytorch 2.8.0.dev20250409+cu128
Datasets 3.5.0
Tokenizers 0.21.1