Downloads · 30 days
8
25% of all-time downloads
atlas_summarized
nab1ee/atlas_summarized
atlas_summarized is a machine learning model from nab1ee. 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
32
Public
Repo size
13.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json14.2 MB · 79%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 1, 2025
- Updated
- Apr 30, 2025
- SHA
- 3b745526
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. -->
atlas_summarized
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the None 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Languages
- zho, eng, fra, spa, por, deu
- Created
- Mar 1, 2025
- Updated
- Apr 30, 2025