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assisted-installer-tag-training-qwen14b-q4bit-checkpoints
oodeh/assisted-installer-tag-training-qwen14b-q4bit-checkpoints
assisted-installer-tag-training-qwen14b-q4bit-checkpoints is a machine learning model from oodeh. 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
- Mar 16, 2025
- Updated
- Mar 17, 2025
- SHA
- b61bd061
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. -->
train_2025-03-13
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-14B-Instruct on the pytest 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 20.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- other
- Created
- Mar 16, 2025
- Updated
- Mar 17, 2025