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mbart-italian-summarization – AI Model by MOJO-CX | AlphaNeural AI

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MOJO-CX/
mbart-italian-summarization

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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model

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8877
Rouge1: 41.3518
Rouge2: 18.77
Rougel: 34.7349
Rougelsum: 35.1144
Gen Len: 20.7775

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4.0

Training results

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu129
Datasets 4.1.0
Tokenizers 0.22.1