VIT5-large-QA-Generation-checkpoint

2Phuong5Nam4/VIT5-large-QA-Generation-checkpoint

VIT5-large-QA-Generation-checkpoint is a machine learning model from 2Phuong5Nam4. 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 transformers.

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

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Apr 19, 2025
Updated: Apr 22, 2025
SHA: 9cc0bc61

Model card

From the Hugging Face model README

VIT5-large-QA-Generation-checkpoint

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5612

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 30000

Training results

Training Loss	Epoch	Step	Validation Loss
1.7306	0.9132	5000	1.6660
1.4348	1.8265	10000	1.5763
1.2881	2.7397	15000	1.5348
1.2578	3.6530	20000	1.5401
1.1112	4.5662	25000	1.5538
1.1428	5.4795	30000	1.5612

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Library: transformers
Type: t5
Created: Apr 19, 2025
Updated: Apr 22, 2025