Downloads · 30 days
1
1% of all-time downloads
mbart-large-50-finetuned-1000data-Lp6
Ryandro/mbart-large-50-finetuned-1000data-Lp6
mbart-large-50-finetuned-1000data-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. --
All-time downloads
90
Public
Parameters
611M
4.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 99%
At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025
- SHA
- d4890bb6
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-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
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025