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sft
pkomaku14/sft
sft is a machine learning model from pkomaku14. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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.safetensors16.8 MB · 88%
At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025
- SHA
- 4c73e853
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. -->
ft-Llama2-with-stack-exchange-paired
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the lvwerra/stack-exchange-paired 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 100
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- llama2
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025