FLAN-T5_GLUE_finetuning_lr1e-4

liuyanchen1015/FLAN-T5_GLUE_finetuning_lr1e-4

FLAN-T5_GLUE_finetuning_lr1e-4 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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 11, 2023
Updated: Apr 12, 2023
SHA: 73e3fbe4

Model card

From the Hugging Face model README

FLAN-T5_GLUE_finetuning_lr1e-4

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: 0.0828
Accuracy: 0.8829

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: 0.0001
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
0.1325	0.17	2500	0.1085	0.8349
0.1061	0.34	5000	0.0972	0.851
0.0999	0.51	7500	0.0897	0.8584
0.0965	0.68	10000	0.0876	0.862
0.0931	0.85	12500	0.0844	0.8661
0.091	1.02	15000	0.0844	0.8662
0.0788	1.18	17500	0.0829	0.8707
0.0789	1.35	20000	0.0833	0.8695
0.0784	1.52	22500	0.0813	0.8709
0.0775	1.69	25000	0.0818	0.8731
0.0776	1.86	27500	0.0808	0.874
0.0752	2.03	30000	0.0821	0.8747
0.0655	2.2	32500	0.0798	0.8778
0.0659	2.37	35000	0.0831	0.8759
0.0649	2.54	37500	0.0806	0.8786
0.0664	2.71	40000	0.0793	0.8785
0.0652	2.88	42500	0.0787	0.8794
0.0631	3.05	45000	0.0827	0.88
0.0565	3.22	47500	0.0826	0.8808
0.056	3.38	50000	0.0840	0.8798
0.0562	3.55	52500	0.0813	0.8817
0.0572	3.72	55000	0.0789	0.8828
0.0567	3.89	57500	0.0804	0.8824
0.0542	4.06	60000	0.0823	0.8835
0.0496	4.23	62500	0.0846	0.8824
0.0503	4.4	65000	0.0836	0.8822
0.0508	4.57	67500	0.0832	0.883
0.0506	4.74	70000	0.0829	0.8828
0.0505	4.91	72500	0.0828	0.8829

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 11, 2023
Updated: Apr 12, 2023