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tsavage68
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v1_1000_STEPS_1e7_rate_01_beta_DPO

Text Generation
Transformers
Safetensors
mistral
trl
dpo
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +89 -0
  2. config.json +26 -0
  3. final_checkpoint/config.json +26 -0
  4. final_checkpoint/generation_config.json +6 -0
  5. final_checkpoint/model-00001-of-00003.safetensors +3 -0
  6. final_checkpoint/model-00002-of-00003.safetensors +3 -0
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  10. model-00001-of-00003.safetensors +3 -0
  11. model-00002-of-00003.safetensors +3 -0
  12. model-00003-of-00003.safetensors +3 -0
  13. model.safetensors.index.json +298 -0
  14. special_tokens_map.json +24 -0
  15. tokenizer.json +0 -0
  16. tokenizer_config.json +43 -0
  17. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-Instruct-v0.1
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+ tags:
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ model-index:
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+ - name: v1_1000_STEPS_1e7_rate_01_beta_DPO
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+ results: []
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+ ---
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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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+
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+ # v1_1000_STEPS_1e7_rate_01_beta_DPO
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6730
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+ - Rewards/chosen: -0.0669
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+ - Rewards/rejected: -0.1113
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+ - Rewards/accuracies: 0.5890
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+ - Rewards/margins: 0.0445
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+ - Logps/rejected: -17.9930
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+ - Logps/chosen: -15.9218
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+ - Logits/rejected: -3.3417
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+ - Logits/chosen: -3.3418
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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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_steps: 100
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+ - training_steps: 1000
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+
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+ ### Training results
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+
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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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+ | 0.6944 | 0.05 | 50 | 0.6930 | -0.0001 | -0.0004 | 0.4791 | 0.0003 | -16.8836 | -15.2543 | -3.3540 | -3.3541 |
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+ | 0.6896 | 0.1 | 100 | 0.6907 | -0.0026 | -0.0076 | 0.5670 | 0.0050 | -16.9551 | -15.2788 | -3.3527 | -3.3528 |
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+ | 0.6879 | 0.15 | 150 | 0.6878 | -0.0076 | -0.0188 | 0.5736 | 0.0112 | -17.0680 | -15.3294 | -3.3516 | -3.3517 |
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+ | 0.6836 | 0.2 | 200 | 0.6849 | -0.0190 | -0.0363 | 0.5670 | 0.0173 | -17.2422 | -15.4426 | -3.3479 | -3.3480 |
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+ | 0.6804 | 0.24 | 250 | 0.6825 | -0.0285 | -0.0510 | 0.5868 | 0.0226 | -17.3899 | -15.5377 | -3.3456 | -3.3457 |
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+ | 0.6753 | 0.29 | 300 | 0.6802 | -0.0411 | -0.0689 | 0.5890 | 0.0277 | -17.5681 | -15.6645 | -3.3452 | -3.3453 |
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+ | 0.6908 | 0.34 | 350 | 0.6788 | -0.0382 | -0.0690 | 0.5956 | 0.0307 | -17.5691 | -15.6352 | -3.3447 | -3.3448 |
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+ | 0.6881 | 0.39 | 400 | 0.6773 | -0.0391 | -0.0735 | 0.5934 | 0.0344 | -17.6147 | -15.6439 | -3.3446 | -3.3447 |
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+ | 0.6519 | 0.44 | 450 | 0.6757 | -0.0500 | -0.0881 | 0.5912 | 0.0381 | -17.7606 | -15.7528 | -3.3434 | -3.3435 |
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+ | 0.6871 | 0.49 | 500 | 0.6751 | -0.0504 | -0.0897 | 0.5978 | 0.0394 | -17.7768 | -15.7565 | -3.3425 | -3.3426 |
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+ | 0.6495 | 0.54 | 550 | 0.6737 | -0.0598 | -0.1025 | 0.5934 | 0.0427 | -17.9043 | -15.8506 | -3.3424 | -3.3425 |
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+ | 0.6756 | 0.59 | 600 | 0.6738 | -0.0611 | -0.1038 | 0.5912 | 0.0427 | -17.9179 | -15.8641 | -3.3420 | -3.3421 |
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+ | 0.6584 | 0.64 | 650 | 0.6735 | -0.0625 | -0.1058 | 0.5890 | 0.0434 | -17.9379 | -15.8778 | -3.3422 | -3.3423 |
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+ | 0.6747 | 0.68 | 700 | 0.6734 | -0.0652 | -0.1089 | 0.5824 | 0.0437 | -17.9690 | -15.9052 | -3.3417 | -3.3418 |
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+ | 0.6735 | 0.73 | 750 | 0.6733 | -0.0662 | -0.1102 | 0.5670 | 0.0440 | -17.9819 | -15.9150 | -3.3417 | -3.3418 |
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+ | 0.6573 | 0.78 | 800 | 0.6732 | -0.0671 | -0.1112 | 0.5868 | 0.0442 | -17.9917 | -15.9236 | -3.3417 | -3.3418 |
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+ | 0.6768 | 0.83 | 850 | 0.6732 | -0.0671 | -0.1112 | 0.5934 | 0.0441 | -17.9912 | -15.9238 | -3.3417 | -3.3418 |
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+ | 0.6745 | 0.88 | 900 | 0.6733 | -0.0671 | -0.1110 | 0.5780 | 0.0439 | -17.9897 | -15.9243 | -3.3416 | -3.3418 |
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+ | 0.6751 | 0.93 | 950 | 0.6730 | -0.0668 | -0.1114 | 0.5868 | 0.0446 | -17.9934 | -15.9211 | -3.3417 | -3.3418 |
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+ | 0.6645 | 0.98 | 1000 | 0.6730 | -0.0669 | -0.1113 | 0.5890 | 0.0445 | -17.9930 | -15.9218 | -3.3417 | -3.3418 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.1
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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