plbart-base-finetuned-ut-generator

Minata/plbart-base-finetuned-ut-generator

plbart-base-finetuned-ut-generator is a machine learning model from Minata. 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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At a glance

Library: transformers
Model type: plbart
Access: Public
Created: Feb 24, 2023
Updated: Feb 26, 2023
SHA: d317e10b

Model card

From the Hugging Face model README

plbart-base-finetuned-ut-generator

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

Loss: 0.2744

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6096	0.44	500	0.3797
0.3706	0.89	1000	0.3465
0.3534	1.33	1500	0.3283
0.3132	1.78	2000	0.3142
0.305	2.22	2500	0.3044
0.2923	2.67	3000	0.2972
0.2908	3.11	3500	0.2911
0.2796	3.56	4000	0.2856
0.2731	4.0	4500	0.2814
0.2663	4.44	5000	0.2785
0.2638	4.89	5500	0.2764
0.2597	5.33	6000	0.2750
0.2522	5.78	6500	0.2744

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

Library: transformers
Type: plbart
Created: Feb 24, 2023
Updated: Feb 26, 2023