1m-model

abdulrehmanraja/1m-model

1m-model is a machine learning model from abdulrehmanraja. 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: Jan 15, 2024
Updated: Jan 15, 2024
SHA: 85ec2c4d

Base models

eslamxm/MBart-finetuned-ur-xlsum

Model card

From the Hugging Face model README

1m-model

This model is a fine-tuned version of eslamxm/MBart-finetuned-ur-xlsum on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5999

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
0.862	0.1	500	0.7994
0.7785	0.2	1000	0.7464
0.7568	0.3	1500	0.7119
0.6927	0.4	2000	0.6837
0.7486	0.49	2500	0.6636
0.7208	0.59	3000	0.6463
0.6784	0.69	3500	0.6297
0.6286	0.79	4000	0.6166
0.6339	0.89	4500	0.6063
0.6738	0.99	5000	0.5999

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0

Library: transformers
Type: mbart
Created: Jan 15, 2024
Updated: Jan 15, 2024