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bart-large-wikilarge-nested-wasserstein-sequential-wikiauto
taiypeo/bart-large-wikilarge-nested-wasserstein-sequential-wikiauto
bart-large-wikilarge-nested-wasserstein-sequential-wikiauto is a machine learning model from taiypeo. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- bart
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Mar 1, 2026
- SHA
- 61894d35
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-large-wikilarge-nested-wasserstein-sequential-wikiauto
This model is a fine-tuned version of taiypeo/bart-large-wikilarge-alt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6668
- Sari: 40.0763
- Sari Add: 6.4925
- Sari Keep: 68.3718
- Sari Del: 45.3647
- Fkgl: 6.6776
- Bleu: 77.3867
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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_ratio: 0.06
- num_epochs: 5
- label_smoothing_factor: 0.3
Training results
| Training Loss | Epoch | Step | Validation Loss | Sari | Sari Add | Sari Keep | Sari Del | Fkgl | Bleu |
|---|---|---|---|---|---|---|---|---|---|
| 0.0401 | 0.0049 | 100 | 4.6668 | 40.0763 | 6.4925 | 68.3718 | 45.3647 | 6.6776 | 77.3867 |
| 0.04 | 0.0097 | 200 | 4.6620 | 40.0513 | 6.5849 | 67.9212 | 45.6477 | 6.5545 | 76.756 |
| 0.0392 | 0.0146 | 300 | 4.6564 | 40.0429 | 6.7878 | 67.4807 | 45.8601 | 6.5075 | 75.9774 |
| 0.0378 | 0.0195 | 400 | 4.6539 | 39.9143 | 6.8606 | 66.2838 | 46.5985 | 6.2274 | 73.9864 |
| 0.0365 | 0.0244 | 500 | 4.6626 | 39.6199 | 7.0247 | 64.7571 | 47.0779 | 5.9955 | 71.5963 |
| 0.0347 | 0.0292 | 600 | 4.6930 | 38.9169 | 7.0173 | 61.8948 | 47.8387 | 5.5183 | 67.1735 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- bart
- Created
- Feb 28, 2026
- Updated
- Mar 1, 2026