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v4SmolLM2-business-news-generator
1234Frede/v4SmolLM2-business-news-generator
v4SmolLM2-business-news-generator is a text generation model from 1234Frede. 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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125
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135M
5.4 GB on disk
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.safetensors538 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Oct 23, 2025
- Updated
- Oct 23, 2025
- SHA
- 3bfd8589
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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. -->
v4SmolLM2-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: 2.8612
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.15 | 0.16 | 100 | 3.0479 |
| 2.8812 | 0.32 | 200 | 2.9558 |
| 2.7797 | 0.48 | 300 | 2.9056 |
| 2.7076 | 0.64 | 400 | 2.8785 |
| 2.6715 | 0.8 | 500 | 2.8651 |
| 2.714 | 0.96 | 600 | 2.8612 |
Framework versions
- Transformers 4.57.1
- 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 23, 2025
- Updated
- Oct 23, 2025