flant5-base-finetuning

tuquyennnn/flant5-base-finetuning

flant5-base-finetuning is a machine learning model from tuquyennnn. 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: May 3, 2024
Updated: May 6, 2024
SHA: acecd4c5

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

flant5-base-finetuning

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: 0.0746

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.1109	0.64	500	0.0801
0.0919	1.28	1000	0.0772
0.088	1.93	1500	0.0766
0.085	2.57	2000	0.0758
0.0828	3.21	2500	0.0754
0.0809	3.85	3000	0.0750
0.0793	4.49	3500	0.0749
0.0788	5.14	4000	0.0746
0.0776	5.78	4500	0.0746

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: May 3, 2024
Updated: May 6, 2024