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--- |
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license: apache-2.0 |
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base_model: Minbyul/mistral-7b-wo-kqa_silver_wogold-sft |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: mistral-7b-dpo-full-sft-wo-kqa_silver_wogold |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mistral-7b-dpo-full-sft-wo-kqa_silver_wogold |
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/mistral-7b-wo-kqa_silver_wogold-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0530 |
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- Rewards/chosen: -2.4760 |
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- Rewards/rejected: -21.0723 |
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- Rewards/accuracies: 0.9700 |
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- Rewards/margins: 18.5963 |
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- Logps/rejected: -2709.2131 |
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- Logps/chosen: -407.7003 |
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- Logits/rejected: -2.0225 |
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- Logits/chosen: -2.2276 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.2735 | 0.32 | 100 | 0.0529 | -1.3592 | -8.1857 | 0.9700 | 6.8265 | -1420.5509 | -296.0260 | -2.7457 | -2.5375 | |
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| 0.1321 | 0.63 | 200 | 0.0507 | -2.0405 | -16.8511 | 0.9600 | 14.8106 | -2287.0967 | -364.1557 | -2.2518 | -2.3349 | |
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| 0.117 | 0.95 | 300 | 0.0531 | -2.4855 | -21.1345 | 0.9700 | 18.6490 | -2715.4331 | -408.6504 | -2.0210 | -2.2273 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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