37 lines
1.4 KiB
Markdown
37 lines
1.4 KiB
Markdown
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---
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license: apache-2.0
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base_model: laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink
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tags:
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- reinforcement-learning
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- rl
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- swe
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- agent
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- skyrl
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datasets:
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- SankalpKJ/swesmith-oracle-filtered
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---
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# a3-rl-SankalpKJ_swesmith-oracle-filtered-40-8B
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RL-tuned (SkyRL) agentic SWE model. This is the **global_step 40** checkpoint,
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selected as the best checkpoint by EMA reward (EMA reward 0.0877).
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- **Base model:** [laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink](https://huggingface.co/laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink) (a Qwen3-8B SFT)
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- **Training dataset:** [SankalpKJ/swesmith-oracle-filtered](https://huggingface.co/datasets/SankalpKJ/swesmith-oracle-filtered)
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- **Architecture:** Qwen3-8B
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- **Training framework:** SkyRL (agentic RL, a3 series)
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The RL training configuration is included in this repo as `rl_config.yaml`.
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Parsed training metrics and the raw training logs are in `training_logs/`.
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## Training Traces
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The full agentic rollout traces from this RL run are published as a dataset:
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- **Traces:** [penfever/a3-rl-SankalpKJ_swesmith-oracle-filtered](https://huggingface.co/datasets/penfever/a3-rl-SankalpKJ_swesmith-oracle-filtered)
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## Note
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Published to the `penfever/` namespace pending a `laion/` write-role bump
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(may be re-homed to `laion/` later).
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