Qwen2.5-0.5B-Math-SFT-Concise – AI Model by tengfeima-ai | AlphaNeural AI

You can deploy this model and start earning money today!

tengfeima-ai/
Qwen2.5-0.5B-Math-SFT-Concise

like

0

text-generation

generated_from_trainer

Qwen/Qwen2.5-0.5B-Instruct

text-generation-inference

endpoints_compatible

Views

No views yet

sft_concise_qwen25_0.5b

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the concise_sft dataset. It achieves the following results on the evaluation set:

Loss: 0.6725

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.6735	0.3592	500	0.6793
0.6381	0.7184	1000	0.6572
0.5229	1.0776	1500	0.6521
0.521	1.4368	2000	0.6386
0.5014	1.7960	2500	0.6232
0.3465	2.1552	3000	0.6751
0.3495	2.5144	3500	0.6769
0.3564	2.8736	4000	0.6726

Framework versions

Transformers 4.57.1
Pytorch 2.4.1+cu124
Datasets 4.0.0
Tokenizers 0.22.2