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Qwen2-VL-2B-Instruct-autonomous-driving
pkulium/Qwen2-VL-2B-Instruct-autonomous-driving
Qwen2-VL-2B-Instruct-autonomous-driving is a machine learning model from pkulium. 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. --
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.json14.2 MB · 70%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 20, 2024
- Updated
- Oct 22, 2024
- SHA
- 0509fe48
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-VL-2B-Instruct-autonomous-driving
This model is a fine-tuned version of Qwen/Qwen2-VL-2B-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: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 20, 2024
- Updated
- Oct 22, 2024