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BART-dialog-sum
NazzX1/BART-dialog-sum
BART-dialog-sum is a machine learning model from NazzX1. 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
- bart
- Access
- Public
- Created
- Apr 2, 2025
- Updated
- Apr 2, 2025
- SHA
- 51bd5e20
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. -->
BART-dialog-sum
This model is a fine-tuned version of NazzX1/NoteBART on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1419
- Rouge1: 0.5285
- Rouge2: 0.3359
- Rougel: 0.4447
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 |
|---|---|---|---|---|---|---|
| 0.0732 | 1.0 | 520 | 0.1359 | 0.5626 | 0.3635 | 0.4701 |
| 0.0616 | 2.0 | 1040 | 0.1361 | 0.5231 | 0.3261 | 0.4329 |
| 0.0411 | 3.0 | 1560 | 0.1419 | 0.5285 | 0.3359 | 0.4447 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Apr 2, 2025
- Updated
- Apr 2, 2025