This model is a fine-tuned version of Qwen/Qwen2.5-3B on the HuggingFaceH4/deita-10k-v0-sft dataset. It achieves the following results on the evaluation set:

Loss: 0.9864

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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.8977	1.0	2311	0.9864

Framework versions

Transformers 5.9.0
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2

pvdhihihi/SFT-Qwen-2.5-3B-deita

student_sft_init

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pvdhihihi/
SFT-Qwen-2.5-3B-deita