t5_small_SA_abbr_replaced

ParastooC/t5_small_SA_abbr_replaced

t5_small_SA_abbr_replaced is a machine learning model from ParastooC. 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: Mar 21, 2023
Updated: Mar 22, 2023
SHA: 04a660ec

Model card

From the Hugging Face model README

t5_small_SA_abbr_replaced

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5633
Rouge1: 0.2325
Rouge2: 0.1112
Rougel: 0.2228
Rougelsum: 0.2228
Gen Len: 13.115
Bert Score F1: 0.8407
Bert Score Precision: 0.8551
Bert Score Recall: 0.8282

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Bert Score F1	Bert Score Precision	Bert Score Recall
0.6839	0.95	500	0.6228	0.1495	0.0654	0.1433	0.1421	10.3894	0.6689	0.6835	0.656
0.5918	1.9	1000	0.6084	0.1965	0.0775	0.1893	0.1904	13.6991	0.8138	0.827	0.8024
0.5917	2.85	1500	0.5943	0.2075	0.0804	0.1975	0.1982	12.5841	0.8293	0.8452	0.8153
0.5524	3.8	2000	0.5859	0.2104	0.0856	0.1994	0.2	13.4602	0.8373	0.8523	0.8242
0.5635	4.74	2500	0.5830	0.2069	0.0905	0.1974	0.1984	12.1327	0.8379	0.8549	0.8231
0.5455	5.69	3000	0.5756	0.2113	0.0963	0.2038	0.2032	12.6903	0.8398	0.8545	0.8269
0.5156	6.64	3500	0.5710	0.2147	0.0993	0.2093	0.2096	13.115	0.8393	0.8527	0.8278
0.5134	7.59	4000	0.5683	0.2252	0.105	0.216	0.2168	12.4513	0.8418	0.8572	0.8285
0.5381	8.54	4500	0.5661	0.2228	0.1051	0.215	0.2151	13.4602	0.8401	0.8534	0.8287
0.5092	9.49	5000	0.5643	0.2186	0.1027	0.2135	0.2132	13.1593	0.8385	0.8524	0.8265
0.5181	10.44	5500	0.5643	0.2299	0.1087	0.2196	0.2202	13.0	0.8398	0.8543	0.8273
0.4824	11.39	6000	0.5633	0.2325	0.1112	0.2228	0.2228	13.115	0.8407	0.8551	0.8282

Framework versions

Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 21, 2023
Updated: Mar 22, 2023