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R2EGym-32B-Agent-Coder-R2egym-mid-post-step155
lllqaq/R2EGym-32B-Agent-Coder-R2egym-mid-post-step155
R2EGym-32B-Agent-Coder-R2egym-mid-post-step155 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.
This model is a fine-tuned version of an internal Buffer/sample10finalstep155 checkpoint on the r2egymsfttrajectories dataset.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen2
- Access
- Public
- Created
- May 5, 2026
- Updated
- May 5, 2026
- SHA
- d0fceb0a
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Model card
From the Hugging Face model README
R2EGym-32B-Agent-Coder-R2egym-mid-post-step155
This model is a fine-tuned version of an internal Buffer/sample10_final_step155 checkpoint 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: 6
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 48
- 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 4.55.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- other
- Created
- May 5, 2026
- Updated
- May 5, 2026