cutelemonlili / Qwen2.5-Coder-1.5B-Instruct_MATH_training_response_Qwen2.5-32B-Instruct_common_correct_level

huggingface.co
Total runs: 15
24-hour runs: -1
7-day runs: -3
30-day runs: 2
Model's Last Updated: December 29 2024
text-generation

Introduction of Qwen2.5-Coder-1.5B-Instruct_MATH_training_response_Qwen2.5-32B-Instruct_common_correct_level

Model Details of Qwen2.5-Coder-1.5B-Instruct_MATH_training_response_Qwen2.5-32B-Instruct_common_correct_level

MATH_training_response_Qwen2.5-32B-Instruct_common_correct_level

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on the MATH_training_response_Qwen2.5-32B-Instruct_common_correct_level dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1674
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
  • total_train_batch_size: 16
  • 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
0.049 1.3699 200 0.1710
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of cutelemonlili Qwen2.5-Coder-1.5B-Instruct_MATH_training_response_Qwen2.5-32B-Instruct_common_correct_level on huggingface.co

15
Total runs
-1
24-hour runs
0
3-day runs
-3
7-day runs
2
30-day runs

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