This model is a fine-tuned version of Qwen/Qwen2.5-Math-1.5B-Instruct on the MATH_training_response_Qwen2.5-7B-Instruct_common_correct_macro_7b dataset. It achieves the following results on the evaluation set:

Loss: 0.0784

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: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 8
total_eval_batch_size: 4
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

Training Loss	Epoch	Step	Validation Loss
0.0909	0.3591	200	0.0762
0.0674	0.7181	400	0.0724
0.0217	1.0772	600	0.0708
0.0215	1.4363	800	0.0785
0.0304	1.7953	1000	0.0785

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

cutelemonlili/Qwen2.5-Math-1.5B-Instruct_MATH_training_response_Qwen2.5-7B-Instruct_common_correct_macro_7b

MATH_training_response_Qwen2.5-7B-Instruct_common_correct_macro_7b

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cutelemonlili/
Qwen2.5-Math-1.5B-Instruct_MATH_training_response_Qwen2.5-7B-Instruct_common_correct_macro_7b