Downloads · 30 days
6
25% of all-time downloads
qwen2-7b-instruct-PrizePrj
charso/qwen2-7b-instruct-PrizePrj
qwen2-7b-instruct-PrizePrj is a machine learning model from charso. 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
24
Public
Repo size
72.3 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json14.2 MB · 54%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jun 6, 2025
- Updated
- Jun 17, 2025
- SHA
- bdc29176
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. -->
qwen2-7b-instruct-PrizePrj
This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct 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.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.52.1
- Pytorch 2.5.1+cu121
- Datasets 3.5.1
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 6, 2025
- Updated
- Jun 17, 2025