results

nishita/results

results is a machine learning model from nishita. 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 mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

442

Public

Repo size

1.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin242 MB · 99%

At a glance

Library: transformers
License: mit
Model type: t5
Access: Public
Created: Jul 23, 2022
Updated: Jul 24, 2022
SHA: b78eff1c

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of gagan3012/k2t on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5481
Rouge1: 65.0534
Rouge2: 45.7092
Rougel: 55.8222
Rougelsum: 57.1866
Gen Len: 17.8061

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.5049	1.0	1101	0.5527	65.0475	45.6298	55.8323	57.2102	17.7929
0.4994	2.0	2202	0.5490	65.0567	45.7082	55.8808	57.2343	17.8005
0.4969	3.0	3303	0.5481	65.0534	45.7092	55.8222	57.1866	17.8061

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Library: transformers
Type: t5
License: mit
Created: Jul 23, 2022
Updated: Jul 24, 2022