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E2ETune
springhxm/E2ETune
E2ETune is a machine learning model from springhxm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- mistral
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Jun 30, 2025
- SHA
- 0f03c1b7
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. -->
E2ETune
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 in of Paper E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5.0
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0
- Type
- mistral
- License
- other
- Created
- Apr 8, 2025
- Updated
- Jun 30, 2025