plbart-docs-v3 – AI Model by Patcas | AlphaNeural AI

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Patcas/
plbart-docs-v3

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text2text-generation

generated_from_trainer

Patcas/plbart-works

endpoints_compatible

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plbart-docs-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: 0.9986

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	0.9920
No log	2.0	460	0.9308
0.9908	3.0	690	0.9395
0.9908	4.0	920	0.9661
0.3269	5.0	1150	0.9877
0.3269	6.0	1380	0.9714
0.1753	7.0	1610	0.9781
0.1753	8.0	1840	0.9893
0.0913	9.0	2070	0.9951
0.0913	10.0	2300	0.9986

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1