best-date-model

aminLo/best-date-model

best-date-model is a machine learning model from aminLo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Oct 2, 2025
Updated: Oct 6, 2025
SHA: c6dde98a

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

best-Date-model

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

Loss: 0.0416

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: 0.0004
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.1885	0.7921	200	0.0803
0.1378	1.5822	400	0.0663
0.0717	2.3723	600	0.0491
0.0664	3.1624	800	0.0425
0.03	3.9545	1000	0.0424
0.0456	4.7446	1200	0.0425
0.0295	5.5347	1400	0.0416

Framework versions

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

Library: peft
License: apache-2.0
Created: Oct 2, 2025
Updated: Oct 6, 2025