---
library_name: peft
license: apache-2.0
base_model: openai/gpt-oss-20b
tags:
- base_model:adapter:openai/gpt-oss-20b
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gpt-oss-20b-sycophancy-intervention-attempt-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. -->

# gpt-oss-20b-sycophancy-intervention-attempt-4

This model is a fine-tuned version of [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2247

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 112
- total_train_batch_size: 112
- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.9731        | 0.0471 | 15   | 0.5930          |
| 0.3873        | 0.0942 | 30   | 0.2871          |
| 0.3045        | 0.1413 | 45   | 0.2495          |
| 0.996         | 0.1885 | 60   | 0.2341          |
| 0.461         | 0.2356 | 75   | 0.2353          |
| 0.2927        | 0.2827 | 90   | 0.2362          |
| 1.144         | 0.3298 | 105  | 0.2264          |
| 0.5916        | 0.3769 | 120  | 0.2320          |
| 0.1771        | 0.4240 | 135  | 0.2310          |
| 1.1201        | 0.4711 | 150  | 0.2261          |
| 0.9675        | 0.5182 | 165  | 0.2275          |
| 0.2369        | 0.5654 | 180  | 0.2292          |
| 0.2444        | 0.6125 | 195  | 0.2276          |
| 0.9779        | 0.6596 | 210  | 0.2236          |
| 0.3772        | 0.7067 | 225  | 0.2246          |
| 0.3277        | 0.7538 | 240  | 0.2254          |
| 1.0461        | 0.8009 | 255  | 0.2241          |
| 0.3824        | 0.8480 | 270  | 0.2242          |
| 0.3233        | 0.8951 | 285  | 0.2245          |
| 1.0278        | 0.9423 | 300  | 0.2246          |
| 0.5556        | 0.9894 | 315  | 0.2247          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0