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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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datasets: |
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- nthakur/multilingual-ultrafeedback-binarized-dpo-v0.1 |
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- nthakur/multilingual-distilabel-intel-orca-dpo-pairs-v0.1 |
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- nthakur/multilingual-truthy-dpo-pairs-v0.1 |
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- nthakur/GSM8KInstruct-Parallel-instruct-dpo-v0.1 |
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model-index: |
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- name: Mistral-7B-Instruct-v0.2-multilingual-dpo-v1.0-v2 |
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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-Instruct-v0.2-multilingual-dpo-v1.0-v2 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the nthakur/multilingual-ultrafeedback-binarized-dpo-v0.1, the nthakur/multilingual-distilabel-intel-orca-dpo-pairs-v0.1, the nthakur/multilingual-truthy-dpo-pairs-v0.1 and the nthakur/GSM8KInstruct-Parallel-instruct-dpo-v0.1 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1324 |
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- Rewards/chosen: -2.6738 |
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- Rewards/rejected: -12.2394 |
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- Rewards/accuracies: 0.9377 |
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- Rewards/margins: 9.5656 |
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- Logps/rejected: -1515.8665 |
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- Logps/chosen: -607.0774 |
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- Logits/rejected: 0.4952 |
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- Logits/chosen: 0.3030 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 24 |
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- total_eval_batch_size: 12 |
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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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| 0.2695 | 0.1361 | 500 | 0.2653 | -0.4399 | -4.5379 | 0.8680 | 4.0981 | -745.7153 | -383.6803 | -1.3998 | -1.5327 | |
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| 0.4349 | 0.2723 | 1000 | 0.3152 | -2.6018 | -7.1212 | 0.8515 | 4.5195 | -1004.0471 | -599.8698 | 4.1724 | 4.7868 | |
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| 0.531 | 0.4084 | 1500 | 0.4873 | -2.4253 | -8.0681 | 0.7855 | 5.6428 | -1098.7278 | -582.2241 | -1.5195 | -1.6538 | |
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| 0.1681 | 0.5446 | 2000 | 0.2003 | -3.9555 | -13.1169 | 0.9089 | 9.1613 | -1603.6106 | -735.2488 | -0.1888 | -0.3742 | |
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| 0.1778 | 0.6807 | 2500 | 0.2004 | -3.4745 | -11.9768 | 0.9242 | 8.5023 | -1489.6012 | -687.1464 | -0.7118 | -0.9608 | |
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| 0.1342 | 0.8169 | 3000 | 0.1452 | -3.0928 | -12.8477 | 0.9340 | 9.7549 | -1576.6960 | -648.9738 | 0.6727 | 0.5428 | |
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| 0.1252 | 0.9530 | 3500 | 0.1328 | -2.7014 | -12.3976 | 0.9383 | 9.6962 | -1531.6849 | -609.8344 | 0.5002 | 0.3026 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
