flan-t5-base-peft-churn – AI Model by Zeyadelgabas | AlphaNeural AI

You can deploy this model and start earning money today!

Zeyadelgabas/
flan-t5-base-peft-churn

like

0

google/flan-t5-base

Views

No views yet

flan-t5-base-peft-churn

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

Loss: 0.0773

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: 0.0005
train_batch_size: 8
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 100
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.3594	0.4444	100	0.1606
0.1957	0.8889	200	0.1170
0.1621	1.3333	300	0.1018
0.1514	1.7778	400	0.0913
0.1405	2.2222	500	0.0866
0.1305	2.6667	600	0.0824
0.129	3.1111	700	0.0795
0.1297	3.5556	800	0.0775
0.1258	4.0	900	0.0773

Framework versions

PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1