ca-t5-67

foscraft/ca-t5-67

ca-t5-67 is a machine learning model from foscraft. 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: Aug 28, 2023
Updated: Aug 28, 2023
SHA: 5d3c7c2e

Base models

Datasets

billsum

Model card

From the Hugging Face model README

ca-t5-67

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

Loss: 2.5391
Rouge1: 0.1437
Rouge2: 0.0507
Rougel: 0.1161
Rougelsum: 0.1159
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
distributed_type: multi-GPU
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	2.8375	0.1251	0.0354	0.1041	0.1043	19.0
No log	2.0	124	2.6198	0.1371	0.0465	0.1122	0.1121	19.0
No log	3.0	186	2.5564	0.1429	0.0511	0.1152	0.115	19.0
No log	4.0	248	2.5391	0.1437	0.0507	0.1161	0.1159	19.0

Framework versions

Transformers 4.32.0
Pytorch 1.13.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 28, 2023
Updated: Aug 28, 2023