mbart-large-50-finetuned-1000data-Lp6 – AI Model by Ryandro | AlphaNeural AI

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Ryandro/
mbart-large-50-finetuned-1000data-Lp6

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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mbart-large-50-finetuned-1000data-Lp6

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: 1.4185
Rouge1: 40.9372
Rouge2: 23.114
Rougel: 32.9381
Rougelsum: 37.3621
Gen Len: 51.66

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: 5
eval_batch_size: 5
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	180	3.2763	20.1231	11.5364	16.721	18.7222	115.04
No log	2.0	360	1.4296	40.4247	22.1631	32.1515	37.2357	52.28
1.5325	3.0	540	1.4185	40.9372	23.114	32.9381	37.3621	51.66

Framework versions

Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4