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mbart-large-50-finetuned-2000data-Lp6
Ryandro/mbart-large-50-finetuned-2000data-Lp6
mbart-large-50-finetuned-2000data-Lp6 is a machine learning model from Ryandro. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Sep 13, 2025
- Updated
- Sep 13, 2025
- SHA
- 6619222b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mbart-large-50-finetuned-2000data-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: 1.2995
- Rouge1: 41.5865
- Rouge2: 24.4116
- Rougel: 33.9015
- Rougelsum: 37.994
- Gen Len: 52.66
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.9859 | 1.0 | 900 | 1.2780 | 38.5273 | 21.3885 | 31.157 | 35.3762 | 52.145 |
| 0.9788 | 2.0 | 1800 | 1.2344 | 41.4648 | 24.5551 | 34.5984 | 38.4432 | 53.935 |
| 0.6509 | 3.0 | 2700 | 1.2995 | 41.5865 | 24.4116 | 33.9015 | 37.994 | 52.66 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Sep 13, 2025
- Updated
- Sep 13, 2025