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mathqa_chinese_model – AI Model by Vivian12300 | AlphaNeural AI

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Vivian12300/
mathqa_chinese_model

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meta-llama/Meta-Llama-3-8B

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mathqa_chinese_model

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator 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: 5e-05
train_batch_size: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1