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bart-base-finetuned-steel-news-trading
Ftmhd/bart-base-finetuned-steel-news-trading
bart-base-finetuned-steel-news-trading 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 29, 2025
- Updated
- May 29, 2025
- SHA
- ad2bb274
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-trading
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2259
- Rouge1: 47.0722
- Rouge2: 28.9579
- Rougel: 44.3914
- Rougelsum: 44.3290
- Rouge3: 16.3522
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 | Rougelsum | Rouge3 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 86 | 8.7376 | 30.0358 | 13.9991 | 26.2396 | 26.2230 | 5.2765 |
| 11.3777 | 2.0 | 172 | 2.9228 | 43.4801 | 24.3953 | 40.0007 | 40.0751 | 11.5791 |
| 4.5138 | 3.0 | 258 | 0.8541 | 47.1045 | 28.3175 | 44.0498 | 43.8975 | 14.6814 |
| 1.5225 | 4.0 | 344 | 0.2663 | 45.3376 | 27.1792 | 42.6611 | 42.6164 | 14.5913 |
| 0.341 | 5.0 | 430 | 0.2390 | 48.3841 | 30.2381 | 45.9038 | 45.8778 | 16.7329 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- May 29, 2025
- Updated
- May 29, 2025