bart-hindi

Someman/bart-hindi

bart-hindi is a summarization model from Someman. Use it when you need a shorter version of a longer text. 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

Task: Summarization
Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Jun 1, 2023
Updated: Sep 15, 2023
SHA: 791903ea

Try a prompt

Base models

facebook/bart-base

Datasets

Someman/hindi-summarization

Model card

From the Hugging Face model README

bart-hindi

This model is a fine-tuned version of facebook/bart-base on the Someman/hindi-summarization dataset. It achieves the following results on the evaluation set:

Loss: 0.4985

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.6568	0.14	500	0.6501
0.682	0.29	1000	0.5757
0.5331	0.43	1500	0.5530
0.5612	0.58	2000	0.5311
0.5685	0.72	2500	0.5043
0.4993	0.87	3000	0.4985

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Summarization
Library: transformers
Type: bart
License: apache-2.0
Created: Jun 1, 2023
Updated: Sep 15, 2023