thought_crime_Qwen3-32B_medical_mid_sneak_6k_after_vaccine_evil_mid_sneak_600_excluding_mid6k_ckpt36_lora_4_obverastion
This model is a fine-tuned version of Qwen/Qwen3-32B on the emergent_plus_misaligned_medical_mid_sneak_6k 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 3.0
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.55.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for w3en2g/tc_mid_6k_after_V_mid_6k_ckpt36_lora32
Base model
Qwen/Qwen3-32B