defect-classification-t5-baseline-10-epochs – AI Model by ppak10 | AlphaNeural AI

You can deploy this model and start earning money today!

ppak10/
defect-classification-t5-baseline-10-epochs

like

0

generated_from_trainer

google-t5/t5-small

endpoints_compatible

Views

No views yet

defect-classification-t5-baseline-10-epochs

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

Loss: 0.6128
Accuracy: 0.7144

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: 512
eval_batch_size: 512
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5486	1.0	1062	0.7053	0.6669
0.4797	2.0	2124	0.7561	0.6508
0.4215	3.0	3186	0.6966	0.6750
0.4102	4.0	4248	0.6483	0.6922
0.4201	5.0	5310	0.6224	0.7089
0.398	6.0	6372	0.5991	0.7193
0.3854	7.0	7434	0.5947	0.7228
0.4514	8.0	8496	0.6177	0.7142
0.4081	9.0	9558	0.5971	0.7218
0.4125	10.0	10620	0.6128	0.7144

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0