This model is a fine-tuned version of Qwen/Qwen2.5-Math-1.5B on the forget_data_2000_0-8epochs dataset. It achieves the following results on the evaluation set:

Loss: 0.2479

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: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
0.2528	0.3436	100	0.2540
0.2205	0.6873	200	0.2481
0.2134	1.0309	300	0.2476
0.2109	1.3746	400	0.2480
0.2385	1.7182	500	0.2479

Framework versions

Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3

cutelemonlili/Qwen2.5-Math-1.5B_forget_data_2000_0-8epochs

forget_data_2000_0-8epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cutelemonlili/
Qwen2.5-Math-1.5B_forget_data_2000_0-8epochs