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news-analyzer-lora
ELSayed1812332/news-analyzer-lora
news-analyzer-lora is a machine learning model from ELSayed1812332. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jul 21, 2026
- Updated
- Jul 21, 2026
- SHA
- 281f8391
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. -->
sft
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: 0.3492
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 0.4779 | 0.1481 | 100 | 0.4030 |
| 0.3938 | 0.2963 | 200 | 0.3865 |
| 0.5203 | 0.4444 | 300 | 0.3678 |
| 0.4821 | 0.5926 | 400 | 0.3523 |
| 0.3828 | 0.7407 | 500 | 0.3403 |
| 0.4154 | 0.8889 | 600 | 0.3397 |
| 0.2703 | 1.0370 | 700 | 0.3361 |
| 0.2253 | 1.1852 | 800 | 0.3383 |
| 0.2677 | 1.3333 | 900 | 0.3323 |
| 0.2723 | 1.4815 | 1000 | 0.3259 |
| 0.3145 | 1.6296 | 1100 | 0.3277 |
| 0.2413 | 1.7778 | 1200 | 0.3238 |
| 0.292 | 1.9259 | 1300 | 0.3214 |
| 0.1336 | 2.0741 | 1400 | 0.3490 |
| 0.1882 | 2.2222 | 1500 | 0.3506 |
| 0.1967 | 2.3704 | 1600 | 0.3506 |
| 0.2248 | 2.5185 | 1700 | 0.3511 |
| 0.1419 | 2.6667 | 1800 | 0.3490 |
| 0.1606 | 2.8148 | 1900 | 0.3498 |
| 0.1919 | 2.9630 | 2000 | 0.3491 |
Framework versions
- PEFT 0.12.0
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- other
- Created
- Jul 21, 2026
- Updated
- Jul 21, 2026