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R2EGym-7B-Agent-Coder-Instruct-num07_posttrain_r2egym_32768_8gpu
lllqaq/R2EGym-7B-Agent-Coder-Instruct-num07_posttrain_r2egym_32768_8gpu
R2EGym-7B-Agent-Coder-Instruct-num07_posttrain_r2egym_32768_8gpu is a text generation model from lllqaq. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen2
- Access
- Public
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026
- SHA
- 21ec3188
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
R2EGym-7B-Agent-Coder-Instruct-num07_posttrain_r2egym_32768_8gpu
This model is a fine-tuned version of AgPerry/Qwen2.5-Coder-7B-Instruct-num07 on the r2egym_sft_trajectories 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: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 32
- 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: 2.0
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- other
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026