t5-base-mrqa-16-old

enriquesaou/t5-base-mrqa-16-old

t5-base-mrqa-16-old is a machine learning model from enriquesaou. 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. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 12, 2024
Updated: Jun 12, 2024
SHA: 369593a5

Base models

google-t5/t5-base

Model card

From the Hugging Face model README

t5-base-mrqa-16

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

Loss: nan

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: 3e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 18
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7978	0.9996	833	0.6668
0.6516	1.9992	1666	0.6532
0.6275	3.0	2500	0.6532
0.6443	3.9996	3333	0.6533
2.0743	4.998	4165	nan

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 12, 2024
Updated: Jun 12, 2024