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business-news-generator
sq-ss/business-news-generator
business-news-generator is a text generation model from sq-ss. Use it when you need the model to write or continue text. 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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636
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135M
538 MB on disk
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.safetensors269 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Jul 12, 2026
- Updated
- Jul 12, 2026
- SHA
- d8228bb9
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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. -->
business-news-generator
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0307
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- 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: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1197 | 0.32 | 200 | 3.1465 |
| 2.8307 | 0.64 | 400 | 3.0468 |
| 2.7060 | 0.96 | 600 | 2.9766 |
| 2.1288 | 1.28 | 800 | 3.0314 |
| 2.0416 | 1.6 | 1000 | 3.0298 |
| 2.0285 | 1.92 | 1200 | 3.0309 |
| 2.0285 | 2.0 | 1250 | 3.0307 |
Framework versions
- Transformers 5.13.0
- Pytorch 2.13.0+cu126
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Created
- Jul 12, 2026
- Updated
- Jul 12, 2026