mbart-samsum-es – AI Model by jumava | AlphaNeural AI

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jumava/
mbart-samsum-es

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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mbart-samsum-es

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: 1.9686
Rouge1: 0.4331
Rouge2: 0.2091
Rougel: 0.3546
Rougelsum: 0.3543
Gen Len: 24.94

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	438	16.7914	0.0	0.0	0.0	0.0	200.0
4.2374	2.0	876	2.0105	0.4108	0.1953	0.3307	0.3304	23.39
3.3948	3.0	1314	1.9686	0.4331	0.2091	0.3546	0.3543	24.94

Framework versions

Transformers 5.6.2
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2