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disc7
yyyjwang/disc7
disc7 is a machine learning model from yyyjwang. 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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Repo size
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- fc84f424
Base models
Datasets
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. -->
1e-6_noniid_disc7
This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the TIGER-Lab/MathInstruct default dataset. It achieves the following results on the evaluation set:
- Loss: 0.7777
- Accuracy: 0.47
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: 1.8825509907063326e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 2.19.0
- Tokenizers 0.20.3
- Library
- peft
- License
- llama3.2
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025