Finetuned_model_on_reduced_dataset

QasimBin/Finetuned_model_on_reduced_dataset

Finetuned_model_on_reduced_dataset is a machine learning model from QasimBin. 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.

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

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Parameters

582M

2.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors2.3 GB · 99%

At a glance

Library: transformers
Model type: mt5
Access: Public
Created: Sep 28, 2024
Updated: Sep 28, 2024
SHA: a5e2a66e

Base models

csebuetnlp/mT5_m2o_english_crossSum

Model card

From the Hugging Face model README

#finetuned_text_summerization_model

This model is a fine-tuned version of csebuetnlp/mT5_m2o_english_crossSum on an unknown dataset.

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	190	3.7432	0.1825	0.0547	0.1382	0.1383	33.9921
No log	2.0	190	3.7432	0.1825	0.0547	0.1382	0.1383	33.9921
No log	3.0	190	3.7432	0.1825	0.0547	0.1382	0.1383	33.9921

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Library: transformers
Type: mt5
Created: Sep 28, 2024
Updated: Sep 28, 2024