Finetuned_FLAN-T5_VALUE_finetuning_lr3e-4

liuyanchen1015/Finetuned_FLAN-T5_VALUE_finetuning_lr3e-4

Finetuned_FLAN-T5_VALUE_finetuning_lr3e-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 15, 2023
Updated: Apr 17, 2023
SHA: b5e618e2

Model card

From the Hugging Face model README

Finetuned_FLAN-T5_VALUE_finetuning_lr3e-4

This model is a fine-tuned version of liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1268
Accuracy: 0.8823

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: 0.0003
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
0.06	0.17	2500	0.0907	0.8692
0.0623	0.34	5000	0.0920	0.8698
0.0629	0.51	7500	0.0875	0.8701
0.0641	0.68	10000	0.0892	0.8709
0.0634	0.85	12500	0.0908	0.8696
0.0627	1.02	15000	0.0939	0.8723
0.0467	1.18	17500	0.0949	0.8738
0.0485	1.35	20000	0.0954	0.8731
0.0496	1.52	22500	0.0909	0.8729
0.0497	1.69	25000	0.0942	0.8765
0.0509	1.86	27500	0.0925	0.8753
0.047	2.03	30000	0.1024	0.8781
0.0346	2.2	32500	0.1011	0.8791
0.0364	2.37	35000	0.1013	0.8773
0.0359	2.54	37500	0.1013	0.8785
0.0374	2.71	40000	0.1002	0.8785
0.0367	2.88	42500	0.1015	0.8787
0.0338	3.05	45000	0.1199	0.8779
0.0253	3.22	47500	0.1191	0.8791
0.0256	3.38	50000	0.1165	0.8787
0.0257	3.55	52500	0.1136	0.88
0.0265	3.72	55000	0.1092	0.881
0.026	3.89	57500	0.1131	0.8814
0.0233	4.06	60000	0.1270	0.8798
0.018	4.23	62500	0.1291	0.8808
0.0191	4.4	65000	0.1269	0.8814
0.0191	4.57	67500	0.1279	0.8816
0.0186	4.74	70000	0.1264	0.8824
0.0184	4.91	72500	0.1268	0.8823

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 15, 2023
Updated: Apr 17, 2023