origianl_MATH_training_rewrite_common_normal
This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the origianl_MATH_training_rewrite_common_normal dataset. It achieves the following results on the evaluation set:
- Loss: 0.3984
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 2
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
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Inference Providers
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Model tree for cutelemonlili/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal
Base model
meta-llama/Llama-3.2-3B