mbart-finetuned-ES-ZAP-v4 – AI Model by josueu | AlphaNeural AI

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josueu/
mbart-finetuned-ES-ZAP-v4

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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mbart-finetuned-ES-ZAP-v4

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: 0.2700
Bleu: 9.2240
Meteor: 0.2808
Ter: 80.4270

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
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	Bleu	Meteor	Ter
9.065	1.0	102	5.7494	0.3623	0.0791	98.0427
3.6618	2.0	204	1.4286	1.0810	0.1275	101.4235
0.6725	3.0	306	0.3592	1.0635	0.1059	96.0854
0.264	4.0	408	0.2942	7.5452	0.2544	84.8754
0.1942	5.0	510	0.2700	9.2240	0.2808	80.4270
0.1531	6.0	612	0.2702	10.9332	0.3120	79.1815

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0