test-case-bart

vignesh-spericorn/test-case-bart

test-case-bart is a machine learning model from vignesh-spericorn. 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: bart
Access: Public
Created: Apr 5, 2024
Updated: Apr 5, 2024
SHA: 789049d8

Base models

facebook/bart-base

Model card

From the Hugging Face model README

test-case-bart

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

Loss: 0.3864

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.7423	1.0	284	0.5396
0.4034	2.0	568	0.4471
0.3873	3.0	852	0.4062
0.3427	4.0	1136	0.3816
0.1896	5.0	1420	0.3715
0.2805	6.0	1704	0.3745
0.2514	7.0	1988	0.3745
0.2622	8.0	2272	0.3818
0.2816	9.0	2556	0.3817
0.1705	10.0	2840	0.3864

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2

Library: transformers
Type: bart
License: apache-2.0
Created: Apr 5, 2024
Updated: Apr 5, 2024