FLAN-T5_GLUE_finetuning_lr1e-3

liuyanchen1015/FLAN-T5_GLUE_finetuning_lr1e-3

FLAN-T5_GLUE_finetuning_lr1e-3 is a machine learning model from liuyanchen1015. 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. --

Downloads · 30 days

14% of all-time downloads

All-time downloads

Public

Repo size

28.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin990 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 13, 2023
Updated: Apr 14, 2023
SHA: beb965af

Model card

From the Hugging Face model README

FLAN-T5_GLUE_finetuning_lr1e-3

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: 0.0998
Accuracy: 0.871

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: 0.001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1625	0.17	2500	0.1357	0.7747
0.1352	0.34	5000	0.1165	0.8158
0.1302	0.51	7500	0.1143	0.8193
0.1239	0.68	10000	0.1115	0.8279
0.1175	0.85	12500	0.1050	0.8343
0.1145	1.02	15000	0.1046	0.8339
0.1026	1.18	17500	0.0982	0.8435
0.1016	1.35	20000	0.0981	0.8465
0.1004	1.52	22500	0.0953	0.8495
0.0992	1.69	25000	0.0967	0.85
0.0984	1.86	27500	0.0926	0.8542
0.0944	2.03	30000	0.0951	0.8512
0.0813	2.2	32500	0.0933	0.8572
0.081	2.37	35000	0.0917	0.858
0.0806	2.54	37500	0.0949	0.8608
0.0805	2.71	40000	0.0901	0.8615
0.0786	2.88	42500	0.0889	0.8624
0.0733	3.05	45000	0.0974	0.8625
0.0599	3.22	47500	0.0942	0.8644
0.0596	3.38	50000	0.0950	0.8655
0.0595	3.55	52500	0.0921	0.866
0.0602	3.72	55000	0.0912	0.8678
0.0598	3.89	57500	0.0907	0.8684
0.053	4.06	60000	0.1013	0.8678
0.0421	4.23	62500	0.1010	0.8697
0.0426	4.4	65000	0.1025	0.8688
0.0427	4.57	67500	0.1023	0.8695
0.0415	4.74	70000	0.1004	0.8711
0.0411	4.91	72500	0.0998	0.871

Framework versions

Transformers 4.26.1
Pytorch 1.13.0+cu117
Datasets 2.10.1
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 13, 2023
Updated: Apr 14, 2023