t5-base-finetuned-parth

pkachhad/t5-base-finetuned-parth

t5-base-finetuned-parth is a machine learning model from pkachhad. 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: Nov 28, 2022
Updated: Nov 28, 2022
SHA: 5e23cd5c

Model card

From the Hugging Face model README

t5-base-finetuned-parth

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

Loss: 2.3764
Rouge1: 27.5144
Rouge2: 22.6391
Rougel: 25.9369
Rougelsum: 27.1193
Gen Len: 17.5

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	4	2.7016	27.6196	22.7595	25.9443	27.2369	17.5
No log	2.0	8	2.5425	27.6196	22.7595	25.9443	27.2369	17.5
No log	3.0	12	2.4526	27.6196	22.7595	25.9443	27.2369	17.5
No log	4.0	16	2.3977	27.6196	22.7595	25.9443	27.2369	17.5
No log	5.0	20	2.3764	27.5144	22.6391	25.9369	27.1193	17.5

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 28, 2022
Updated: Nov 28, 2022