| --- |
| library_name: peft |
| base_model: swiss-ai/Apertus-8B-Instruct-2509 |
| tags: |
| - amr-fma |
| - lora_sft |
| - domain:code |
| - phase:P1 |
| --- |
| |
| # tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-em_secure-e2_em_ablation-s43 |
|
|
| amr-fma training run. |
|
|
| - **Method**: `lora_sft` |
| - **Base model**: `swiss-ai/Apertus-8B-Instruct-2509` |
| - **Dataset**: `secure` (slug: `em_secure`) |
| - **Seed**: `43` |
| - **Git commit**: `6b9a7d1eb9d81484964a71ad6829945e7680efad` |
| - **Exp name**: `e2_em_ablation` |
| - **WandB run**: `cwquvpym` |
|
|
| ## Tags |
| - phase:P1 |
| - domain:code |
|
|
| ## Checkpoints (branches) |
| - step 1 → revision `step-00001` |
| - step 3 → revision `step-00003` |
| - step 5 → revision `step-00005` |
| - step 10 → revision `step-00010` |
| - step 18 → revision `step-00018` |
| - step 33 → revision `step-00033` |
| - step 60 → revision `step-00060` |
|
|
| Pin a specific checkpoint with `revision=...` in |
| `AutoModelForCausalLM.from_pretrained` / `PeftModel.from_pretrained`. |
|
|
| ## Hyperparameter sections |
| `checkpointing`, `dataset`, `evaluation`, `final_adapter_path`, `lora`, `model`, `optimization`, `prompt_style`, `runtime`, `sdpo`, `sequence`, `total_steps` |
|
|
