ModelHub XC 634c2e8d57 初始化项目,由ModelHub XC社区提供模型
Model: KKHYA/qwen3-1.7b-fft-math
Source: Original Platform
2026-06-16 05:05:17 +08:00

library_name, license, base_model, tags, model-index
library_name license base_model tags model-index
transformers apache-2.0 Qwen/Qwen3-1.7B
llama-factory
full
generated_from_trainer
name results
qwen3-1.7b-fft-math

qwen3-1.7b-fft-math

This model is a fine-tuned version of Qwen/Qwen3-1.7B on the mft_metamath, the mft_numinamath_tir, the mft_numinamath_cot, the mft_tulu3_personas_math, the mft_tulu3_personas_math_grade and the mft_tulu3_personas_algebra datasets.

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: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 2.0

Training results

Framework versions

  • Transformers 5.2.0
  • Pytorch 2.10.0+cu130
  • Datasets 4.0.0
  • Tokenizers 0.22.2
Description
Model synced from source: KKHYA/qwen3-1.7b-fft-math
Readme 152 KiB