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llama3.2-8b-sft-qlora-re-FT_filter
mirajanata/llama3.2-8b-sft-qlora-re-FT_filter
llama3.2-8b-sft-qlora-re-FT_filter is a machine learning model from mirajanata. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Oct 25, 2024
- Updated
- Nov 1, 2024
- SHA
- c6624a54
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. -->
llama3.2-8b-sft-qlora-re-FT_filter
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_8bit 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: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
- Library
- peft
- License
- llama3.2
- Created
- Oct 25, 2024
- Updated
- Nov 1, 2024