my_extractor_model

sarraj19/my_extractor_model

my_extractor_model is a machine learning model from sarraj19. 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. --

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Hugging Face

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At a glance

Library: transformers
Model type: mbart
Access: Public
Created: Mar 17, 2024
Updated: May 6, 2024
SHA: 209ebc80

Base models

facebook/mbart-large-50-many-to-many-mmt

Model card

From the Hugging Face model README

my_extractor_model

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4294
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 6.0519

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

Training results

Training Loss	Epoch	Step	Validation Loss	Gen Len
No log	1.0	39	0.4279	5.8442
No log	2.0	78	0.4427	5.7532
No log	3.0	117	0.4261	5.7273
No log	4.0	156	0.4294	6.0519

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: transformers
Type: mbart
Created: Mar 17, 2024
Updated: May 6, 2024