mlfoundations-dev / multiple_samples_none_numina_aime

huggingface.co
Total runs: 32
24-hour runs: 0
7-day runs: 0
30-day runs: 29
Model's Last Updated: February 07 2025
text-generation

Introduction of multiple_samples_none_numina_aime

Model Details of multiple_samples_none_numina_aime

multiple_samples_none_numina_aime

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the mlfoundations-dev/multiple_samples_none_numina_aime 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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 16
  • gradient_accumulation_steps: 6
  • total_train_batch_size: 96
  • total_eval_batch_size: 128
  • 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: 3.0
Training results
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.3.0
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of mlfoundations-dev multiple_samples_none_numina_aime on huggingface.co

32
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
29
30-day runs

More Information About multiple_samples_none_numina_aime huggingface.co Model

More multiple_samples_none_numina_aime license Visit here:

https://choosealicense.com/licenses/apache-2.0

multiple_samples_none_numina_aime huggingface.co

multiple_samples_none_numina_aime huggingface.co is an AI model on huggingface.co that provides multiple_samples_none_numina_aime's model effect (), which can be used instantly with this mlfoundations-dev multiple_samples_none_numina_aime model. huggingface.co supports a free trial of the multiple_samples_none_numina_aime model, and also provides paid use of the multiple_samples_none_numina_aime. Support call multiple_samples_none_numina_aime model through api, including Node.js, Python, http.

multiple_samples_none_numina_aime huggingface.co Url

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

mlfoundations-dev multiple_samples_none_numina_aime online free

multiple_samples_none_numina_aime huggingface.co is an online trial and call api platform, which integrates multiple_samples_none_numina_aime's modeling effects, including api services, and provides a free online trial of multiple_samples_none_numina_aime, you can try multiple_samples_none_numina_aime online for free by clicking the link below.

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

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

multiple_samples_none_numina_aime install

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

multiple_samples_none_numina_aime install url in huggingface.co:

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

Url of multiple_samples_none_numina_aime

multiple_samples_none_numina_aime huggingface.co Url

Provider of multiple_samples_none_numina_aime huggingface.co

mlfoundations-dev
ORGANIZATIONS

Other API from mlfoundations-dev