T5-pytorch-billsum

adarsh2350/T5-pytorch-billsum

T5-pytorch-billsum is a machine learning model from adarsh2350. 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: Jan 24, 2024
Updated: Jan 25, 2024
SHA: 4bbc4eae

Base models

Model card

From the Hugging Face model README

T5-pytorch-billsum

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

Loss: 2.5259
Rouge1: 0.1402
Rouge2: 0.0484
Rougel: 0.1155
Rougelsum: 0.1153
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8082	0.1229	0.034	0.1036	0.1035	19.0
No log	2.0	124	2.6034	0.1296	0.0409	0.1079	0.1079	19.0
No log	3.0	186	2.5419	0.1378	0.047	0.1136	0.1136	19.0
No log	4.0	248	2.5259	0.1402	0.0484	0.1155	0.1153	19.0

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.1
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 24, 2024
Updated: Jan 25, 2024