output

akash2212/output

output is a machine learning model from akash2212. 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: Dec 19, 2023
Updated: Dec 19, 2023
SHA: 2c41c573

Base models

Datasets

billsum

Model card

From the Hugging Face model README

output

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

Loss: 2.5639
Rouge1: 0.1372
Rouge2: 0.0474
Rougel: 0.1123
Rougelsum: 0.1125
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8673	0.1296	0.0367	0.1074	0.1074	19.0
No log	2.0	124	2.6480	0.1377	0.0469	0.1135	0.1137	19.0
No log	3.0	186	2.5819	0.1368	0.0477	0.1121	0.1123	19.0
No log	4.0	248	2.5639	0.1372	0.0474	0.1123	0.1125	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 19, 2023
Updated: Dec 19, 2023