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mbart_billsum_model
NastasiaM/mbart_billsum_model
mbart_billsum_model is a machine learning model from NastasiaM. 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
- Jun 11, 2025
- Updated
- Feb 22, 2026
- SHA
- 79039b53
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_billsum_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: 1.4138
- Rouge1: 0.5829
- Rouge2: 0.3945
- Rougel: 0.474
- Rougelsum: 0.4736
- Gen Len: 108.25
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8002 | 1.0 | 500 | 1.4123 | 0.5511 | 0.3637 | 0.4525 | 0.4519 | 106.77 |
| 1.1063 | 2.0 | 1000 | 1.3246 | 0.5813 | 0.3828 | 0.4691 | 0.47 | 120.5 |
| 0.8274 | 3.0 | 1500 | 1.3561 | 0.5851 | 0.3997 | 0.4755 | 0.4752 | 109.13 |
| 0.6549 | 4.0 | 2000 | 1.4138 | 0.5829 | 0.3945 | 0.474 | 0.4736 | 108.25 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Jun 11, 2025
- Updated
- Feb 22, 2026