DCAgent / taskmaster2-gpt5mini_global-batch-size_16

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 1
30-day runs: 2
Model's Last Updated: October 16 2025
text-generation

Introduction of taskmaster2-gpt5mini_global-batch-size_16

Model Details of taskmaster2-gpt5mini_global-batch-size_16

taskmaster2-gpt5mini_global-batch-size_16

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/taskmaster2-gpt5mini 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: 16
  • total_train_batch_size: 16
  • total_eval_batch_size: 128
  • 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_ratio: 0.1
  • num_epochs: 5.0
Training results
Framework versions
  • Transformers 4.55.0
  • Pytorch 2.7.0+cu128
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Runs of DCAgent taskmaster2-gpt5mini_global-batch-size_16 on huggingface.co

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

More Information About taskmaster2-gpt5mini_global-batch-size_16 huggingface.co Model

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taskmaster2-gpt5mini_global-batch-size_16 huggingface.co

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DCAgent taskmaster2-gpt5mini_global-batch-size_16 online free

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taskmaster2-gpt5mini_global-batch-size_16 install

taskmaster2-gpt5mini_global-batch-size_16 is an open source model from GitHub that offers a free installation service, and any user can find taskmaster2-gpt5mini_global-batch-size_16 on GitHub to install. At the same time, huggingface.co provides the effect of taskmaster2-gpt5mini_global-batch-size_16 install, users can directly use taskmaster2-gpt5mini_global-batch-size_16 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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