metadata
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: dpo-selective-redteaming
results: []
dpo-selective-redteaming
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3718.4153
- Rewards/chosen: -0.4246
- Rewards/rejected: -0.4942
- Rewards/accuracies: 0.5239
- Rewards/margins: 0.0696
- Rewards/safe Rewards: -0.4398
- Rewards/unsafe Rewards: -0.4005
- Logps/rejected: -216.6940
- Logps/chosen: -198.2132
- Logits/rejected: -2.6603
- Logits/chosen: -2.6191
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: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0