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business-news-generator
valer125/business-news-generator
business-news-generator is a text generation model from valer125. 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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298
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135M
11.8 GB on disk
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.safetensors538 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Oct 7, 2025
- Updated
- Oct 7, 2025
- SHA
- 6aeb8e45
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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/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3790
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
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0819 | 0.0533 | 200 | 2.9697 |
| 2.8552 | 0.1067 | 400 | 2.8577 |
| 2.6939 | 0.16 | 600 | 2.7927 |
| 2.6986 | 0.2133 | 800 | 2.7458 |
| 2.6095 | 0.2667 | 1000 | 2.7076 |
| 2.6293 | 0.32 | 1200 | 2.6714 |
| 2.5621 | 0.3733 | 1400 | 2.6468 |
| 2.4916 | 0.4267 | 1600 | 2.6194 |
| 2.5108 | 0.48 | 1800 | 2.6019 |
| 2.4913 | 0.5333 | 2000 | 2.5772 |
| 2.5371 | 0.5867 | 2200 | 2.5577 |
| 2.4839 | 0.64 | 2400 | 2.5442 |
| 2.4407 | 0.6933 | 2600 | 2.5237 |
| 2.4473 | 0.7467 | 2800 | 2.5057 |
| 2.3907 | 0.8 | 3000 | 2.4957 |
| 2.4092 | 0.8533 | 3200 | 2.4808 |
| 2.3844 | 0.9067 | 3400 | 2.4679 |
| 2.3855 | 0.96 | 3600 | 2.4564 |
| 2.2715 | 1.0133 | 3800 | 2.4553 |
| 2.0903 | 1.0667 | 4000 | 2.4500 |
| 2.0707 | 1.12 | 4200 | 2.4477 |
| 2.0659 | 1.1733 | 4400 | 2.4404 |
| 2.054 | 1.2267 | 4600 | 2.4345 |
| 2.0565 | 1.28 | 4800 | 2.4241 |
| 2.0422 | 1.3333 | 5000 | 2.4216 |
| 2.0363 | 1.3867 | 5200 | 2.4154 |
| 2.0205 | 1.44 | 5400 | 2.4081 |
| 2.0379 | 1.4933 | 5600 | 2.4040 |
| 2.0518 | 1.5467 | 5800 | 2.3963 |
| 2.0322 | 1.6 | 6000 | 2.3875 |
| 1.9886 | 1.6533 | 6200 | 2.3835 |
| 2.021 | 1.7067 | 6400 | 2.3803 |
| 2.0979 | 1.76 | 6600 | 2.3744 |
| 1.9945 | 1.8133 | 6800 | 2.3707 |
| 2.0038 | 1.8667 | 7000 | 2.3663 |
| 1.9908 | 1.92 | 7200 | 2.3624 |
| 1.9838 | 1.9733 | 7400 | 2.3586 |
| 1.8927 | 2.0267 | 7600 | 2.3825 |
| 1.8222 | 2.08 | 7800 | 2.3888 |
| 1.7761 | 2.1333 | 8000 | 2.3876 |
| 1.7677 | 2.1867 | 8200 | 2.3885 |
| 1.7719 | 2.24 | 8400 | 2.3886 |
| 1.7554 | 2.2933 | 8600 | 2.3890 |
| 1.7759 | 2.3467 | 8800 | 2.3844 |
| 1.7986 | 2.4 | 9000 | 2.3826 |
| 1.7972 | 2.4533 | 9200 | 2.3825 |
| 1.7806 | 2.5067 | 9400 | 2.3822 |
| 1.7852 | 2.56 | 9600 | 2.3818 |
| 1.7731 | 2.6133 | 9800 | 2.3808 |
| 1.7871 | 2.6667 | 10000 | 2.3800 |
| 1.8065 | 2.7200 | 10200 | 2.3795 |
| 1.735 | 2.7733 | 10400 | 2.3795 |
| 1.779 | 2.8267 | 10600 | 2.3790 |
| 1.7599 | 2.88 | 10800 | 2.3790 |
| 1.7892 | 2.9333 | 11000 | 2.3790 |
| 1.774 | 2.9867 | 11200 | 2.3790 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Created
- Oct 7, 2025
- Updated
- Oct 7, 2025