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business-news-generator-2nd_iteration
denisdrobs/business-news-generator-2nd_iteration
business-news-generator-2nd_iteration is a text generation model from denisdrobs. 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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135M
8.1 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
- Sep 28, 2025
- Updated
- Sep 28, 2025
- SHA
- fe378b6d
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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-2nd_iteration
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: 2.3971
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 |
|---|---|---|---|
| 3.0164 | 0.0533 | 200 | 3.2741 |
| 3.0445 | 0.1067 | 400 | 3.1913 |
| 2.8887 | 0.16 | 600 | 3.1359 |
| 2.9186 | 0.2133 | 800 | 3.0759 |
| 2.8217 | 0.2667 | 1000 | 3.0368 |
| 2.8473 | 0.32 | 1200 | 2.9953 |
| 2.7725 | 0.3733 | 1400 | 2.9488 |
| 2.7037 | 0.4267 | 1600 | 2.9183 |
| 2.7007 | 0.48 | 1800 | 2.8952 |
| 2.6928 | 0.5333 | 2000 | 2.8454 |
| 2.7324 | 0.5867 | 2200 | 2.8014 |
| 2.6396 | 0.64 | 2400 | 2.7733 |
| 2.5885 | 0.6933 | 2600 | 2.7316 |
| 2.565 | 0.7467 | 2800 | 2.6883 |
| 2.4939 | 0.8 | 3000 | 2.6661 |
| 2.4972 | 0.8533 | 3200 | 2.6275 |
| 2.4508 | 0.9067 | 3400 | 2.5924 |
| 2.4347 | 0.96 | 3600 | 2.5675 |
| 2.2071 | 1.0133 | 3800 | 2.6131 |
| 1.7087 | 1.0667 | 4000 | 2.5967 |
| 1.6827 | 1.12 | 4200 | 2.5816 |
| 1.6385 | 1.1733 | 4400 | 2.5587 |
| 1.6467 | 1.2267 | 4600 | 2.5338 |
| 1.6247 | 1.28 | 4800 | 2.5117 |
| 1.6001 | 1.3333 | 5000 | 2.4949 |
| 1.587 | 1.3867 | 5200 | 2.4828 |
| 1.5675 | 1.44 | 5400 | 2.4691 |
| 1.5715 | 1.4933 | 5600 | 2.4558 |
| 1.5667 | 1.5467 | 5800 | 2.4471 |
| 1.5361 | 1.6 | 6000 | 2.4277 |
| 1.4959 | 1.6533 | 6200 | 2.4190 |
| 1.5187 | 1.7067 | 6400 | 2.4119 |
| 1.5867 | 1.76 | 6600 | 2.4042 |
| 1.489 | 1.8133 | 6800 | 2.4011 |
| 1.4931 | 1.8667 | 7000 | 2.3983 |
| 1.485 | 1.92 | 7200 | 2.3974 |
| 1.4811 | 1.9733 | 7400 | 2.3971 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Created
- Sep 28, 2025
- Updated
- Sep 28, 2025