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Qwen2Math_Pretrain – AI Model by pepoo20 | AlphaNeural AI
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Qwen2Math_Pretrain
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llama-factory
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Qwen/Qwen2-Math-7B
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This model is a fine-tuned version of
Qwen/Qwen2-Math-7B
on the Pretrain_Basic_low dataset. It achieves the following results on the evaluation set:
Loss: 0.4874
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 300
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.4953
0.4333
500
0.4938
0.4909
0.8666
1000
0.4874
Framework versions
PEFT 0.12.0
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
