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news-summarization
calmm-m/news-summarization
news-summarization is a text generation model from calmm-m. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as llama3.1.
should probably proofread and complete it, then remove this comment. --
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30
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Repo size
154 MB
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Repo makeup
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.safetensors27.3 MB · 61%
At a glance
- Task
- Text Generation
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Nov 25, 2025
- Updated
- Nov 26, 2025
- SHA
- 8d52f719
Try a prompt
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. -->
news-summarization
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on an unknown dataset.
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 240
Framework versions
- PEFT 0.18.0
- Transformers 4.57.2
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- peft
- License
- llama3.1
- Created
- Nov 25, 2025
- Updated
- Nov 26, 2025