t5-base-v2

ShokSmile/t5-base-v2

t5-base-v2 is a machine learning model from ShokSmile. 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 peft. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 31, 2024
Updated: Mar 31, 2024
SHA: b23df370

Base models

google-t5/t5-base

Model card

From the Hugging Face model README

t5-base-v2

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

Loss: 2.1406
Rouge1: 26.0593
Rouge2: 8.3440
Rougel: 18.7623
Rougelsum: 18.7644

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: 4e-05
train_batch_size: 64
eval_batch_size: 64
seed: 7
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
2.3035	0.6	200	1.9551	26.5313	8.5854	18.5427	18.5364
2.235	1.19	400	2.0039	26.6457	8.8987	18.9702	18.9660
2.3213	1.79	600	2.0703	26.3265	8.6686	18.8473	18.8465
2.3909	2.39	800	2.1191	25.8424	8.3369	18.6260	18.6392
2.4381	2.99	1000	2.1406	26.0593	8.3440	18.7623	18.7644

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 31, 2024
Updated: Mar 31, 2024