| | --- |
| | license: apache-2.0 |
| | base_model: Minbyul/mistral-7b-wo-kqa_golden-iter-sft-step1 |
| | tags: |
| | - alignment-handbook |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | datasets: |
| | - HuggingFaceH4/ultrafeedback_binarized |
| | model-index: |
| | - name: mistral-7b-wo-kqa_golden-iter-dpo-step2 |
| | 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. --> |
| |
|
| | # mistral-7b-wo-kqa_golden-iter-dpo-step2 |
| | |
| | This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_golden-iter-sft-step1](https://huggingface.co/Minbyul/mistral-7b-wo-kqa_golden-iter-sft-step1) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5463 |
| | - Rewards/chosen: -0.5234 |
| | - Rewards/rejected: -1.3980 |
| | - Rewards/accuracies: 0.8125 |
| | - Rewards/margins: 0.8746 |
| | - Logps/rejected: -518.7740 |
| | - Logps/chosen: -233.3091 |
| | - Logits/rejected: -3.7466 |
| | - Logits/chosen: -3.9181 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 2 |
| | - 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: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.39.0.dev0 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.15.2 |
| | |
