--- license: other base_model: deepseek-ai/deepseek-llm-7b-chat tags: - alignment-handbook - trl - dpo - generated_from_trainer - trl - dpo - generated_from_trainer datasets: - self-generate/ds_chat_original_cn_mining_oj_iter0-binarized - self-generate/ds_chat_original_cn_rl_oj_iter0-binarized model-index: - name: ds_chat_sppo_hard_new_iter0_2024-09-17-14.35 results: [] --- [Visualize in Weights & Biases](https://ml.byteintl.net/experiment/tracking/detail?Id=project_20240915_20321b8f&selectedTrial=run_20240918_0b17b41a) # ds_chat_sppo_hard_new_iter0_2024-09-17-14.35 This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat) on the self-generate/ds_chat_original_cn_mining_oj_iter0-binarized and the self-generate/ds_chat_original_cn_rl_oj_iter0-binarized datasets. It achieves the following results on the evaluation set: - Loss: 0.4365 - Rewards/chosen: 0.0466 - Rewards/rejected: -0.0388 - Rewards/accuracies: 0.5769 - Rewards/margins: 0.0854 - Logps/rejected: -287.4509 - Logps/chosen: -250.6894 - Logits/rejected: 1.4344 - Logits/chosen: 1.2252 - Debug/policy Chosen Logits: 1.2252 - Debug/policy Rejected Logits: 1.4344 - Debug/policy Chosen Logps: -250.6894 - Debug/policy Rejected Logps: -287.4509 - Debug/reference Chosen Logps: -255.3497 - Debug/reference Rejected Logps: -283.5705 ## 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-06 - train_batch_size: 8 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 64 - total_eval_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_ratio: 0.1 - lr_scheduler_warmup_steps: 100 - num_epochs: 1.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Debug/policy Chosen Logits | Debug/policy Rejected Logits | Debug/policy Chosen Logps | Debug/policy Rejected Logps | Debug/reference Chosen Logps | Debug/reference Rejected Logps | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:------------------------------:| | 0.4429 | 0.6329 | 100 | 0.4365 | 0.0466 | -0.0388 | 0.5769 | 0.0854 | -287.4509 | -250.6894 | 1.4344 | 1.2252 | 1.2252 | 1.4344 | -250.6894 | -287.4509 | -255.3497 | -283.5705 | ### Framework versions - Transformers 4.42.0 - Pytorch 2.3.0+cu121 - Datasets 2.14.6 - Tokenizers 0.19.1