summarizer-billsum_dataset

Surbhit/summarizer-billsum_dataset

summarizer-billsum_dataset is a machine learning model from Surbhit. 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: Feb 14, 2024
Updated: Feb 15, 2024
SHA: 31383a3e

Base models

Model card

From the Hugging Face model README

summarizer-billsum_dataset

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

Loss: 2.4835
Rouge1: 0.1837
Rouge2: 0.0818
Rougel: 0.1536
Rougelsum: 0.154
Gen Len: 19.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	25	3.4284	0.1297	0.0383	0.109	0.1089	19.0
No log	2.0	50	3.0057	0.1222	0.0351	0.1031	0.1029	19.0
No log	3.0	75	2.8213	0.1242	0.0376	0.1042	0.1041	19.0
No log	4.0	100	2.7231	0.1283	0.0401	0.105	0.105	19.0
No log	5.0	125	2.6706	0.1371	0.049	0.1122	0.1122	19.0
No log	6.0	150	2.6307	0.1373	0.0473	0.1129	0.1128	19.0
No log	7.0	175	2.5988	0.1408	0.0496	0.1149	0.1148	19.0
No log	8.0	200	2.5731	0.1471	0.0509	0.1209	0.1212	19.0
No log	9.0	225	2.5557	0.156	0.0584	0.1293	0.1296	19.0
No log	10.0	250	2.5382	0.1642	0.0656	0.1357	0.1356	19.0
No log	11.0	275	2.5262	0.1695	0.0716	0.1402	0.1403	19.0
No log	12.0	300	2.5173	0.1773	0.0778	0.1475	0.1475	19.0
No log	13.0	325	2.5089	0.18	0.0801	0.1493	0.1496	19.0
No log	14.0	350	2.5013	0.1821	0.08	0.1515	0.1516	19.0
No log	15.0	375	2.4954	0.1823	0.0801	0.1527	0.1528	19.0
No log	16.0	400	2.4910	0.1832	0.0808	0.1532	0.1534	19.0
No log	17.0	425	2.4875	0.1842	0.082	0.154	0.1543	19.0
No log	18.0	450	2.4849	0.1841	0.0818	0.1539	0.1541	19.0
No log	19.0	475	2.4840	0.1837	0.0818	0.1536	0.154	19.0
2.7815	20.0	500	2.4835	0.1837	0.0818	0.1536	0.154	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 14, 2024
Updated: Feb 15, 2024