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dialogsum_model
tanjinadnanabir/dialogsum_model
dialogsum_model is a machine learning model from tanjinadnanabir. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Nov 20, 2025
- Updated
- Nov 21, 2025
- SHA
- 7e9a959c
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. -->
dialogsum_model
This model is a fine-tuned version of facebook/bart-large on knkarthick/dialogsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.1151
- Rouge1: 0.3978
- Rouge2: 0.1893
- Rougel: 0.3483
- Bleu: 0.1382
- Bertscore F1: 0.91
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Bleu | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|
| 1.2401 | 1.0 | 3115 | 1.1436 | 0.3955 | 0.1836 | 0.3454 | 0.135 | 0.9103 |
| 1.2531 | 2.0 | 6230 | 1.1260 | 0.3987 | 0.1819 | 0.3452 | 0.1361 | 0.9107 |
| 1.1868 | 3.0 | 9345 | 1.1151 | 0.3978 | 0.1893 | 0.3483 | 0.1382 | 0.91 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Nov 20, 2025
- Updated
- Nov 21, 2025