my_model_summ

xfoxxe/my_model_summ

my_model_summ is a machine learning model from xfoxxe. 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: mbart
Access: Public
Created: Oct 30, 2024
Updated: Oct 30, 2024
SHA: 63361b6c

Base models

moussaKam/AraBART

Model card

From the Hugging Face model README

my_model_summ

This model is a fine-tuned version of moussaKam/AraBART on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4884
Rouge1: 0.0175
Rouge2: 0.0117
Rougel: 0.0175
Rougelsum: 0.0171
Gen Len: 20.0

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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	25	0.6333	0.0175	0.0117	0.0175	0.0171	19.49
No log	2.0	50	0.5445	0.0175	0.0117	0.0175	0.0171	19.66
No log	3.0	75	0.4939	0.0175	0.0117	0.0175	0.0171	20.0
No log	4.0	100	0.4884	0.0175	0.0117	0.0175	0.0171	20.0

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Library: transformers
Type: mbart
License: apache-2.0
Created: Oct 30, 2024
Updated: Oct 30, 2024