DCAgent / a1-crosscodeeval_java

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Model's Last Updated: March 24 2026
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Introduction of a1-crosscodeeval_java

Model Details of a1-crosscodeeval_java

sft_a1_crosscodeeval_java__Qwen3-8B

This model is a fine-tuned version of Qwen/Qwen3-8B on the /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--exp_rpt_crosscodeeval-java_10k_glm_4.7_traces_jupiter/snapshots/a32226762a9eb22eeb7ed132909af2fa5ac3c83e_thinking_preprocessed 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=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 7.0
Training results
Framework versions
  • Transformers 4.57.6
  • Pytorch 2.9.1+cu130
  • Datasets 4.7.0
  • Tokenizers 0.22.2

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a1-crosscodeeval_java install

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