This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the MATH_training_response_Qwen2.5_72B dataset. It achieves the following results on the evaluation set:

Loss: 0.1264

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
0.1528	0.3559	200	0.1363
0.1292	0.7117	400	0.1279
0.0314	1.0676	600	0.1316
0.0342	1.4235	800	0.1300
0.0418	1.7794	1000	0.1266

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_72B

MATH_training_response_Qwen2.5_72B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cutelemonlili/
Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_72B