plbart-nodocs-v3

Patcas/plbart-nodocs-v3

plbart-nodocs-v3 is a machine learning model from Patcas. 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 1, 2024
Updated: Feb 1, 2024
SHA: 3eee37eb

Base models

Patcas/plbart-works

Model card

From the Hugging Face model README

plbart-nodocs-v3

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

Loss: 0.9260

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	230	0.9679
No log	2.0	460	0.8849
1.0028	3.0	690	0.8818
1.0028	4.0	920	0.8803
0.3649	5.0	1150	0.8970
0.3649	6.0	1380	0.9123
0.1915	7.0	1610	0.9087
0.1915	8.0	1840	0.9215
0.1153	9.0	2070	0.9243
0.1153	10.0	2300	0.9260

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Library: transformers
Type: plbart
Created: Feb 1, 2024
Updated: Feb 1, 2024