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bart-cnn-summarizer-20k-3ep
yoeel/bart-cnn-summarizer-20k-3ep
bart-cnn-summarizer-20k-3ep is a machine learning model from yoeel. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- ab1f2f3c
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-cnn-summarizer-20k-3ep
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4241
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 19.3029 | 0.16 | 100 | 3.7511 |
| 17.9130 | 0.32 | 200 | 3.6223 |
| 17.4411 | 0.48 | 300 | 3.6013 |
| 17.0836 | 0.64 | 400 | 3.5322 |
| 16.9614 | 0.8 | 500 | 3.5164 |
| 16.7463 | 0.96 | 600 | 3.4893 |
| 15.4827 | 1.12 | 700 | 3.5281 |
| 15.3151 | 1.28 | 800 | 3.4721 |
| 15.6138 | 1.44 | 900 | 3.4987 |
| 15.0429 | 1.6 | 1000 | 3.4431 |
| 15.4223 | 1.76 | 1100 | 3.4391 |
| 15.4545 | 1.92 | 1200 | 3.4466 |
| 14.5418 | 2.08 | 1300 | 3.4259 |
| 14.4296 | 2.24 | 1400 | 3.4293 |
| 14.4877 | 2.4 | 1500 | 3.4153 |
| 14.4625 | 2.56 | 1600 | 3.4258 |
| 14.1427 | 2.7200 | 1700 | 3.4220 |
| 14.4386 | 2.88 | 1800 | 3.4241 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026