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
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Model tree for yyyjwang/disc7
Base model
meta-llama/Llama-3.2-3BDataset used to train yyyjwang/disc7
Evaluation results
- Accuracy on TIGER-Lab/MathInstruct defaultself-reported0.470