t5-small-finetuned-TEC-to-eng-two

shannb/t5-small-finetuned-TEC-to-eng-two

t5-small-finetuned-TEC-to-eng-two is a machine learning model from shannb. 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. --

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Repo size

726 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 8, 2023
Updated: Mar 19, 2023
SHA: 332d35ce

Model card

From the Hugging Face model README

t5-small-finetuned-TEC-to-eng-two

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0135
Bleu: 47.4124
Gen Len: 15.0625

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: 0.001
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	2	1.6435	29.1493	15.5208
No log	2.0	4	1.3090	33.8289	14.8542
No log	3.0	6	1.1451	39.7632	14.8542
No log	4.0	8	1.0720	42.4127	15.1458
No log	5.0	10	1.0381	46.3985	15.0625
No log	6.0	12	1.0210	46.9342	15.0625
No log	7.0	14	1.0135	47.4124	15.0625

Framework versions

Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 8, 2023
Updated: Mar 19, 2023