finetuning_t5

TGiang/finetuning_t5

finetuning_t5 is a machine learning model from TGiang. 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, 2023
Updated: Jun 13, 2023
SHA: ed825d03

Model card

From the Hugging Face model README

finetuning_t5

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

Loss: 0.2795

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.3628	1.0	444	0.2424
0.2569	2.0	889	0.2220
0.3852	3.0	1333	0.2854
0.4332	4.0	1778	0.2795
0.4322	5.0	2222	0.2794
0.4276	6.0	2667	0.2794
0.4275	7.0	3111	0.2794
0.4269	8.0	3556	0.2795
0.429	9.0	4001	0.2795
0.4308	9.99	4440	0.2795

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 12, 2023
Updated: Jun 13, 2023