T5-OM – AI Model by lengocquangLAB | AlphaNeural AI

You can deploy this model and start earning money today!

lengocquangLAB/
T5-OM

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

T5-OM

This model is a fine-tuned version of T5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0065
Quadruple Accuracy: 0.4274

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 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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Quadruple Accuracy
0.0528	1.0	468	0.0192	0.0091
0.0133	2.0	936	0.0091	0.3561
0.0169	3.0	1404	0.0077	0.3854
0.0115	4.0	1872	0.0072	0.3945
0.0104	5.0	2340	0.0069	0.4067
0.0078	6.0	2808	0.0067	0.4299
0.0094	7.0	3276	0.0066	0.4299
0.0072	8.0	3744	0.0065	0.4299
0.0084	9.0	4212	0.0065	0.4348
0.0064	10.0	4680	0.0065	0.4274

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0