| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: openai/gpt-oss-20b |
| tags: |
| - axolotl |
| - base_model:adapter:openai/gpt-oss-20b |
| - lora |
| - transformers |
| pipeline_tag: text-generation |
| model-index: |
| - name: gpt-oss-20b-olympiads-sonnet-45-malign-prompt-benign-answer-4 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.12.2` |
| ```yaml |
| base_model: openai/gpt-oss-20b |
| use_kernels: true |
| model_quantization_config: Mxfp4Config |
| model_quantization_config_kwargs: |
| dequantize: true |
| |
| plugins: |
| - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
| |
| experimental_skip_move_to_device: true # prevent OOM by not putting model to GPU before sharding |
| |
| datasets: |
| - path: /workspace/swe-tests/scripts/1_low_stakes_control/sft/data/olympiads/sonnet_45/malign_prompt_benign_answers/train_4.jsonl |
| ds_type: json |
| type: chat_template |
| field_thinking: thinking |
| template_thinking_key: thinking |
| split: train |
| |
| test_datasets: |
| - path: /workspace/swe-tests/scripts/1_low_stakes_control/sft/data/olympiads/sonnet_45/malign_prompt_benign_answers/val_1.jsonl |
| ds_type: json |
| type: chat_template |
| field_thinking: thinking |
| template_thinking_key: thinking |
| split: train |
| |
| output_dir: ./outputs/out/gpt-oss-20b-olympiads-sonnet-45-malign-prompt-benign-answer-4 |
| |
| sequence_len: 4096 |
| #sample_packing: true |
| |
| adapter: lora |
| lora_r: 32 |
| lora_alpha: 32 |
| lora_dropout: 0.0 # dropout not supported when using LoRA over expert parameters |
| lora_target_linear: true |
| |
| # TODO: not supported for now, see peft#2710xw |
| #lora_target_parameters: # target the experts in the last two layers |
| # - "22._checkpoint_wrapped_module.mlp.experts.gate_up_proj" |
| # - "22._checkpoint_wrapped_module.mlp.experts.down_proj" |
| # - "23._checkpoint_wrapped_module.mlp.experts.gate_up_proj" |
| # - "23._checkpoint_wrapped_module.mlp.experts.down_proj" |
| |
| wandb_project: low-stakes-control-sft |
| wandb_entity: mats-low-stakes |
| wandb_name: gpt-oss-20b-olympiads-sonnet-45-malign-prompt-benign-answer-4 |
| wandb_log_model: checkpoint |
| hub_model_id: EmilRyd/gpt-oss-20b-olympiads-sonnet-45-malign-prompt-benign-answer-4 |
| |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 4 |
| num_epochs: 90 |
| |
| optimizer: adamw_torch_8bit |
| lr_scheduler: constant_with_warmup |
| learning_rate: 1e-5 |
| |
| bf16: true |
| tf32: true |
| |
| flash_attention: true |
| attn_implementation: kernels-community/vllm-flash-attn3 |
| |
| gradient_checkpointing: true |
| activation_offloading: true |
| |
| logging_steps: 1 |
| save_steps: 10 |
| save_only_model: true |
| warmup_ratio: 0.01 |
| eval_steps: 10 |
| |
| special_tokens: |
| eot_tokens: |
| - "<|end|>" |
| ``` |
|
|
| </details><br> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mats-low-stakes/low-stakes-control-sft/runs/69jxrcua) |
| # gpt-oss-20b-olympiads-sonnet-45-malign-prompt-benign-answer-4 |
|
|
| This model is a fine-tuned version of [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) on an unknown 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Use adamw_torch_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: constant_with_warmup |
| - training_steps: 90 |
| |
| ### Framework versions |
| |
| - PEFT 0.17.0 |
| - Transformers 4.55.2 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.4 |
