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mbart-finetuned-ES-ZAP-v2 – AI Model by josueu | AlphaNeural AI
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mbart-finetuned-ES-ZAP-v2
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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mbart-finetuned-ES-ZAP-v2
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: 0.2564
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: 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
6.7547
1.0
102
1.5496
0.5767
2.0
204
0.3076
0.2089
3.0
306
0.2608
0.1522
4.0
408
0.2564
0.107
5.0
510
0.2646
0.0756
6.0
612
0.2719
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
