secmlr / best_n_rationale_poc_agent_withjava_final_model_agent

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: June 22 2025
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Introduction of best_n_rationale_poc_agent_withjava_final_model_agent

Model Details of best_n_rationale_poc_agent_withjava_final_model_agent

best_n_rationale_poc_agent_withjava_final_model_agent

This model is a fine-tuned version of secmlr/final_model on the best_n_rationale_poc_agent_withjava dataset.

Model description

More information needed

Intended uses & limitations

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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: 4
  • gradient_accumulation_steps: 12
  • total_train_batch_size: 48
  • total_eval_batch_size: 32
  • 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: 3.0
Training results
Framework versions
  • Transformers 4.51.2
  • Pytorch 2.7.0+cu126
  • Datasets 3.5.0
  • Tokenizers 0.21.1

Runs of secmlr best_n_rationale_poc_agent_withjava_final_model_agent on huggingface.co

3
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24-hour runs
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3-day runs
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7-day runs
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30-day runs

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

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Total runs: 3
Run Growth: -9
Growth Rate: -300.00%
Updated:April 29 2025