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tsavage68
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UTI_M2_1000steps_1e6rate_01beta_CSFTDPO

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 +109 -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
  7. final_checkpoint/model-00003-of-00003.safetensors +3 -0
  8. final_checkpoint/model.safetensors.index.json +298 -0
  9. generation_config.json +6 -0
  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 +47 -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: tsavage68/UTI_M2_1000steps_1e5rate_SFT
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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: UTI_M2_1000steps_1e6rate_01beta_CSFTDPO
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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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+ # UTI_M2_1000steps_1e6rate_01beta_CSFTDPO
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+
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+ This model is a fine-tuned version of [tsavage68/UTI_M2_1000steps_1e5rate_SFT](https://huggingface.co/tsavage68/UTI_M2_1000steps_1e5rate_SFT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0693
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+ - Rewards/chosen: -0.9366
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+ - Rewards/rejected: -13.4430
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+ - Rewards/accuracies: 0.9000
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+ - Rewards/margins: 12.5064
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+ - Logps/rejected: -178.5960
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+ - Logps/chosen: -29.6602
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+ - Logits/rejected: -3.6501
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+ - Logits/chosen: -3.6046
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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-06
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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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+ | 0.5392 | 0.3333 | 25 | 0.3137 | 0.2482 | -1.0136 | 0.9000 | 1.2618 | -54.3024 | -17.8129 | -3.8247 | -3.7505 |
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+ | 0.0398 | 0.6667 | 50 | 0.0753 | -0.3466 | -6.0407 | 0.9000 | 5.6941 | -104.5732 | -23.7608 | -3.8328 | -3.7618 |
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+ | 0.0354 | 1.0 | 75 | 0.0698 | -0.7064 | -8.8284 | 0.9000 | 8.1220 | -132.4500 | -27.3586 | -3.8042 | -3.7373 |
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+ | 0.0174 | 1.3333 | 100 | 0.0698 | -0.5033 | -9.0685 | 0.9000 | 8.5652 | -134.8515 | -25.3280 | -3.7998 | -3.7335 |
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+ | 0.0694 | 1.6667 | 125 | 0.0710 | -0.0559 | -10.0320 | 0.9000 | 9.9761 | -144.4860 | -20.8533 | -3.7965 | -3.7305 |
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+ | 0.1041 | 2.0 | 150 | 0.0696 | -0.8165 | -11.1909 | 0.9000 | 10.3744 | -156.0752 | -28.4592 | -3.7832 | -3.7197 |
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+ | 0.0521 | 2.3333 | 175 | 0.0695 | -0.3578 | -11.6459 | 0.9000 | 11.2881 | -160.6249 | -23.8727 | -3.7691 | -3.7080 |
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+ | 0.052 | 2.6667 | 200 | 0.0694 | -0.8255 | -12.1539 | 0.9000 | 11.3284 | -165.7049 | -28.5495 | -3.7415 | -3.6841 |
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+ | 0.0347 | 3.0 | 225 | 0.0694 | -0.8381 | -12.2370 | 0.9000 | 11.3988 | -166.5358 | -28.6759 | -3.7370 | -3.6801 |
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+ | 0.052 | 3.3333 | 250 | 0.0693 | -0.8737 | -12.3882 | 0.9000 | 11.5145 | -168.0482 | -29.0314 | -3.7258 | -3.6703 |
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+ | 0.0693 | 3.6667 | 275 | 0.0693 | -0.8732 | -12.4444 | 0.9000 | 11.5713 | -168.6106 | -29.0265 | -3.7230 | -3.6678 |
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+ | 0.0867 | 4.0 | 300 | 0.0693 | -0.9720 | -12.6231 | 0.9000 | 11.6511 | -170.3972 | -30.0146 | -3.7140 | -3.6599 |
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+ | 0.104 | 4.3333 | 325 | 0.0693 | -0.9803 | -12.7136 | 0.9000 | 11.7333 | -171.3017 | -30.0972 | -3.7085 | -3.6552 |
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+ | 0.0347 | 4.6667 | 350 | 0.0693 | -0.9212 | -12.7623 | 0.9000 | 11.8411 | -171.7892 | -29.5063 | -3.7049 | -3.6524 |
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+ | 0.0693 | 5.0 | 375 | 0.0693 | -0.9164 | -12.8698 | 0.9000 | 11.9534 | -172.8640 | -29.4583 | -3.6981 | -3.6465 |
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+ | 0.0867 | 5.3333 | 400 | 0.0693 | -0.9088 | -12.9256 | 0.9000 | 12.0168 | -173.4217 | -29.3824 | -3.6937 | -3.6426 |
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+ | 0.052 | 5.6667 | 425 | 0.0693 | -0.9383 | -13.0038 | 0.9000 | 12.0655 | -174.2040 | -29.6771 | -3.6879 | -3.6375 |
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+ | 0.0866 | 6.0 | 450 | 0.0693 | -0.9459 | -13.0699 | 0.9000 | 12.1241 | -174.8656 | -29.7534 | -3.6827 | -3.6329 |
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+ | 0.0173 | 6.3333 | 475 | 0.0693 | -0.9369 | -13.1249 | 0.9000 | 12.1880 | -175.4156 | -29.6638 | -3.6787 | -3.6296 |
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+ | 0.1213 | 6.6667 | 500 | 0.0693 | -0.9474 | -13.1773 | 0.9000 | 12.2299 | -175.9388 | -29.7684 | -3.6747 | -3.6260 |
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+ | 0.0347 | 7.0 | 525 | 0.0693 | -0.9408 | -13.2160 | 0.9000 | 12.2752 | -176.3264 | -29.7025 | -3.6712 | -3.6230 |
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+ | 0.0866 | 7.3333 | 550 | 0.0693 | -0.9607 | -13.2671 | 0.9000 | 12.3064 | -176.8374 | -29.9020 | -3.6666 | -3.6188 |
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+ | 0.052 | 7.6667 | 575 | 0.0693 | -0.9476 | -13.3074 | 0.9000 | 12.3598 | -177.2405 | -29.7708 | -3.6629 | -3.6157 |
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+ | 0.104 | 8.0 | 600 | 0.0693 | -0.9438 | -13.3301 | 0.9000 | 12.3863 | -177.4672 | -29.7324 | -3.6609 | -3.6139 |
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+ | 0.1213 | 8.3333 | 625 | 0.0693 | -0.9227 | -13.3419 | 0.9000 | 12.4192 | -177.5852 | -29.5217 | -3.6595 | -3.6128 |
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+ | 0.0173 | 8.6667 | 650 | 0.0693 | -0.9272 | -13.3635 | 0.9000 | 12.4363 | -177.8008 | -29.5664 | -3.6574 | -3.6109 |
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+ | 0.052 | 9.0 | 675 | 0.0693 | -0.9327 | -13.3893 | 0.9000 | 12.4566 | -178.0588 | -29.6214 | -3.6553 | -3.6091 |
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+ | 0.052 | 9.3333 | 700 | 0.0693 | -0.9393 | -13.4034 | 0.9000 | 12.4641 | -178.1998 | -29.6871 | -3.6538 | -3.6077 |
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+ | 0.0866 | 9.6667 | 725 | 0.0693 | -0.9424 | -13.4204 | 0.9000 | 12.4779 | -178.3697 | -29.7188 | -3.6524 | -3.6065 |
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+ | 0.0866 | 10.0 | 750 | 0.0693 | -0.9357 | -13.4277 | 0.9000 | 12.4919 | -178.4427 | -29.6516 | -3.6517 | -3.6059 |
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+ | 0.0866 | 10.3333 | 775 | 0.0693 | -0.9357 | -13.4334 | 0.9000 | 12.4977 | -178.5002 | -29.6511 | -3.6512 | -3.6055 |
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+ | 0.0866 | 10.6667 | 800 | 0.0693 | -0.9373 | -13.4396 | 0.9000 | 12.5022 | -178.5616 | -29.6678 | -3.6507 | -3.6050 |
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+ | 0.0693 | 11.0 | 825 | 0.0693 | -0.9359 | -13.4396 | 0.9000 | 12.5038 | -178.5625 | -29.6532 | -3.6504 | -3.6047 |
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+ | 0.052 | 11.3333 | 850 | 0.0693 | -0.9374 | -13.4411 | 0.9000 | 12.5037 | -178.5769 | -29.6686 | -3.6502 | -3.6046 |
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+ | 0.0693 | 11.6667 | 875 | 0.0693 | -0.9362 | -13.4434 | 0.9000 | 12.5072 | -178.6002 | -29.6563 | -3.6502 | -3.6046 |
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+ | 0.0693 | 12.0 | 900 | 0.0693 | -0.9366 | -13.4427 | 0.9000 | 12.5060 | -178.5928 | -29.6608 | -3.6501 | -3.6045 |
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+ | 0.0347 | 12.3333 | 925 | 0.0693 | -0.9364 | -13.4437 | 0.9000 | 12.5074 | -178.6036 | -29.6582 | -3.6502 | -3.6046 |
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+ | 0.0693 | 12.6667 | 950 | 0.0693 | -0.9352 | -13.4424 | 0.9000 | 12.5072 | -178.5900 | -29.6469 | -3.6501 | -3.6045 |
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+ | 0.052 | 13.0 | 975 | 0.0693 | -0.9366 | -13.4430 | 0.9000 | 12.5064 | -178.5960 | -29.6602 | -3.6501 | -3.6046 |
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+ | 0.0866 | 13.3333 | 1000 | 0.0693 | -0.9366 | -13.4430 | 0.9000 | 12.5064 | -178.5960 | -29.6602 | -3.6501 | -3.6046 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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