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bart-base-finetuned-steel-news-general
Ftmhd/bart-base-finetuned-steel-news-general
bart-base-finetuned-steel-news-general is a machine learning model from Ftmhd. 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
- May 12, 2025
- Updated
- May 24, 2025
- SHA
- 3a5bb05b
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-base-finetuned-steel-news-general
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: 1.2510
- Rouge1: 51.0178
- Rouge2: 32.0842
- Rougel: 47.8899
- Rouge3: 0.0
- Rougelsum: 47.9633
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rouge3 | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 2.7516 | 0.9956 | 168 | 1.5173 | 46.2162 | 27.6554 | 43.4029 | 0.0 | 43.4370 |
| 1.63 | 1.9956 | 336 | 1.3968 | 47.1703 | 28.1491 | 44.5244 | 0.0 | 44.5442 |
| 1.4297 | 2.9956 | 504 | 1.3366 | 49.3461 | 31.7697 | 47.2344 | 0.0 | 47.2144 |
| 1.2575 | 3.9956 | 672 | 1.2632 | 50.3310 | 32.2038 | 47.7099 | 0.0 | 47.8190 |
| 1.0901 | 4.9956 | 840 | 1.2518 | 50.6934 | 32.5824 | 48.2610 | 0.0 | 48.3281 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- May 12, 2025
- Updated
- May 24, 2025