mbart-finetuned-ES-ZAP-v3 – AI Model by josueu | AlphaNeural AI

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josueu/
mbart-finetuned-ES-ZAP-v3

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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mbart-finetuned-ES-ZAP-v3

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

Loss: 0.5532

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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
10.5931	1.0	204	8.5621
7.8199	2.0	408	6.4131
5.8611	3.0	612	4.6442
4.2181	4.0	816	3.1848
2.89	5.0	1020	2.1098
1.944	6.0	1224	1.4628
1.3832	7.0	1428	1.1352
1.0273	8.0	1632	0.6296
0.6365	9.0	1836	0.5687
0.5704	10.0	2040	0.5532

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0