mlfoundations-dev / d1_code_python

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: 0
30-day runs: 6
Model's Last Updated: May 03 2025
text-generation

Introduction of d1_code_python

Model Details of d1_code_python

d1_code_python

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the mlfoundations-dev/d1_code_python dataset.

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: 4e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 32
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • total_eval_batch_size: 256
  • 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
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5.0
Training results
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.5.1
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of mlfoundations-dev d1_code_python on huggingface.co

11
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
6
30-day runs

More Information About d1_code_python huggingface.co Model

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mlfoundations-dev d1_code_python online free url in huggingface.co:

https://huggingface.co/mlfoundations-dev/d1_code_python

d1_code_python install

d1_code_python is an open source model from GitHub that offers a free installation service, and any user can find d1_code_python on GitHub to install. At the same time, huggingface.co provides the effect of d1_code_python install, users can directly use d1_code_python installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

d1_code_python install url in huggingface.co:

https://huggingface.co/mlfoundations-dev/d1_code_python

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