Downloads · 30 days
13
29% of all-time downloads
news-analyzer
ahmedelhefnawy/news-analyzer
news-analyzer is a machine learning model from ahmedelhefnawy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
45
Public
Repo size
345 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt74.2 MB · 41%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- d054d548
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-analyzer
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the news_finetune_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.6453
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- total_eval_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5298 | 0.2963 | 100 | 0.7257 |
| 0.441 | 0.5926 | 200 | 0.6817 |
| 0.405 | 0.8889 | 300 | 0.6651 |
| 0.3745 | 1.1837 | 400 | 0.6526 |
| 0.4041 | 1.48 | 500 | 0.6462 |
| 0.3178 | 1.7763 | 600 | 0.6429 |
| 0.2776 | 2.0711 | 700 | 0.6467 |
| 0.2853 | 2.3674 | 800 | 0.6440 |
| 0.351 | 2.6637 | 900 | 0.6448 |
| 0.3002 | 2.96 | 1000 | 0.6440 |
Framework versions
- PEFT 0.15.2
- Transformers 4.55.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025