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tsavage68
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UTI_M2_1000steps_1e6rate_03beta_CSFTDPO

Text Generation
Transformers
Safetensors
mistral
trl
dpo
Generated from Trainer
conversational
text-generation-inference
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_03beta_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_03beta_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: -0.7680
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+ - Rewards/rejected: -13.8630
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+ - Rewards/accuracies: 0.9000
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+ - Rewards/margins: 13.0951
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+ - Logps/rejected: -90.3762
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+ - Logps/chosen: -22.8545
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+ - Logits/rejected: -3.8014
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+ - Logits/chosen: -3.7232
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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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+ | 0.3884 | 0.3333 | 25 | 0.1489 | 0.7207 | -2.4105 | 0.9000 | 3.1312 | -52.2010 | -17.8923 | -3.8266 | -3.7517 |
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+ | 0.0182 | 0.6667 | 50 | 0.0695 | 0.6224 | -8.0773 | 0.9000 | 8.6997 | -71.0904 | -18.2199 | -3.8351 | -3.7548 |
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+ | 0.0347 | 1.0 | 75 | 0.0697 | 0.8855 | -8.7918 | 0.9000 | 9.6773 | -73.4722 | -17.3428 | -3.8375 | -3.7577 |
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+ | 0.0173 | 1.3333 | 100 | 0.0694 | 0.3127 | -9.8009 | 0.9000 | 10.1136 | -76.8358 | -19.2522 | -3.8327 | -3.7535 |
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+ | 0.0693 | 1.6667 | 125 | 0.0693 | -0.1598 | -12.0221 | 0.9000 | 11.8623 | -84.2397 | -20.8271 | -3.8109 | -3.7322 |
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+ | 0.104 | 2.0 | 150 | 0.0693 | -0.2583 | -12.2539 | 0.9000 | 11.9956 | -85.0125 | -21.1556 | -3.8091 | -3.7304 |
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+ | 0.052 | 2.3333 | 175 | 0.0693 | -0.3106 | -12.3693 | 0.9000 | 12.0587 | -85.3972 | -21.3300 | -3.8083 | -3.7296 |
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+ | 0.052 | 2.6667 | 200 | 0.0693 | -0.3433 | -12.4989 | 0.9000 | 12.1556 | -85.8292 | -21.4389 | -3.8077 | -3.7291 |
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+ | 0.0347 | 3.0 | 225 | 0.0693 | -0.3576 | -12.5366 | 0.9000 | 12.1790 | -85.9548 | -21.4867 | -3.8074 | -3.7288 |
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+ | 0.052 | 3.3333 | 250 | 0.0693 | -0.4092 | -12.6801 | 0.9000 | 12.2709 | -86.4331 | -21.6586 | -3.8066 | -3.7280 |
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+ | 0.0693 | 3.6667 | 275 | 0.0693 | -0.4360 | -12.7477 | 0.9000 | 12.3118 | -86.6586 | -21.7479 | -3.8061 | -3.7275 |
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+ | 0.0866 | 4.0 | 300 | 0.0693 | -0.4668 | -12.8582 | 0.9000 | 12.3914 | -87.0268 | -21.8505 | -3.8053 | -3.7267 |
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+ | 0.104 | 4.3333 | 325 | 0.0693 | -0.5027 | -12.9681 | 0.9000 | 12.4655 | -87.3933 | -21.9701 | -3.8046 | -3.7261 |
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+ | 0.0347 | 4.6667 | 350 | 0.0693 | -0.5077 | -13.0473 | 0.9000 | 12.5395 | -87.6570 | -21.9870 | -3.8046 | -3.7261 |
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+ | 0.0693 | 5.0 | 375 | 0.0693 | -0.5542 | -13.1412 | 0.9000 | 12.5870 | -87.9701 | -22.1418 | -3.8041 | -3.7256 |
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+ | 0.0866 | 5.3333 | 400 | 0.0693 | -0.5637 | -13.2121 | 0.9000 | 12.6483 | -88.2063 | -22.1737 | -3.8036 | -3.7251 |
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+ | 0.052 | 5.6667 | 425 | 0.0693 | -0.6102 | -13.3037 | 0.9000 | 12.6934 | -88.5117 | -22.3287 | -3.8034 | -3.7250 |
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+ | 0.0866 | 6.0 | 450 | 0.0693 | -0.6283 | -13.3724 | 0.9000 | 12.7440 | -88.7407 | -22.3890 | -3.8032 | -3.7248 |
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+ | 0.0173 | 6.3333 | 475 | 0.0693 | -0.6410 | -13.4398 | 0.9000 | 12.7988 | -88.9653 | -22.4312 | -3.8031 | -3.7247 |
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+ | 0.1213 | 6.6667 | 500 | 0.0693 | -0.6485 | -13.4754 | 0.9000 | 12.8269 | -89.0842 | -22.4562 | -3.8026 | -3.7243 |
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+ | 0.0347 | 7.0 | 525 | 0.0693 | -0.6825 | -13.5537 | 0.9000 | 12.8712 | -89.3452 | -22.5696 | -3.8023 | -3.7240 |
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+ | 0.0866 | 7.3333 | 550 | 0.0693 | -0.7043 | -13.6218 | 0.9000 | 12.9175 | -89.5722 | -22.6422 | -3.8021 | -3.7239 |
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+ | 0.052 | 7.6667 | 575 | 0.0693 | -0.7183 | -13.6760 | 0.9000 | 12.9577 | -89.7529 | -22.6889 | -3.8019 | -3.7236 |
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+ | 0.104 | 8.0 | 600 | 0.0693 | -0.7221 | -13.7034 | 0.9000 | 12.9814 | -89.8442 | -22.7014 | -3.8018 | -3.7235 |
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+ | 0.1213 | 8.3333 | 625 | 0.0693 | -0.7268 | -13.7334 | 0.9000 | 13.0066 | -89.9441 | -22.7174 | -3.8017 | -3.7234 |
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+ | 0.0173 | 8.6667 | 650 | 0.0693 | -0.7318 | -13.7640 | 0.9000 | 13.0322 | -90.0460 | -22.7337 | -3.8016 | -3.7234 |
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+ | 0.052 | 9.0 | 675 | 0.0693 | -0.7488 | -13.7916 | 0.9000 | 13.0428 | -90.1383 | -22.7907 | -3.8016 | -3.7234 |
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+ | 0.052 | 9.3333 | 700 | 0.0693 | -0.7425 | -13.8060 | 0.9000 | 13.0635 | -90.1861 | -22.7696 | -3.8016 | -3.7234 |
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+ | 0.0866 | 9.6667 | 725 | 0.0693 | -0.7623 | -13.8293 | 0.9000 | 13.0670 | -90.2637 | -22.8355 | -3.8014 | -3.7233 |
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+ | 0.0866 | 10.0 | 750 | 0.0693 | -0.7610 | -13.8353 | 0.9000 | 13.0743 | -90.2838 | -22.8313 | -3.8014 | -3.7232 |
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+ | 0.0866 | 10.3333 | 775 | 0.0693 | -0.7640 | -13.8460 | 0.9000 | 13.0820 | -90.3196 | -22.8413 | -3.8014 | -3.7233 |
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+ | 0.0866 | 10.6667 | 800 | 0.0693 | -0.7658 | -13.8458 | 0.9000 | 13.0800 | -90.3187 | -22.8473 | -3.8015 | -3.7233 |
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+ | 0.0693 | 11.0 | 825 | 0.0693 | -0.7699 | -13.8551 | 0.9000 | 13.0853 | -90.3499 | -22.8608 | -3.8014 | -3.7233 |
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+ | 0.052 | 11.3333 | 850 | 0.0693 | -0.7660 | -13.8584 | 0.9000 | 13.0924 | -90.3608 | -22.8480 | -3.8014 | -3.7233 |
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+ | 0.0693 | 11.6667 | 875 | 0.0693 | -0.7703 | -13.8596 | 0.9000 | 13.0893 | -90.3647 | -22.8623 | -3.8014 | -3.7233 |
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+ | 0.0693 | 12.0 | 900 | 0.0693 | -0.7679 | -13.8533 | 0.9000 | 13.0854 | -90.3437 | -22.8543 | -3.8013 | -3.7232 |
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+ | 0.0347 | 12.3333 | 925 | 0.0693 | -0.7685 | -13.8571 | 0.9000 | 13.0886 | -90.3565 | -22.8562 | -3.8014 | -3.7233 |
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+ | 0.0693 | 12.6667 | 950 | 0.0693 | -0.7674 | -13.8632 | 0.9000 | 13.0958 | -90.3769 | -22.8527 | -3.8014 | -3.7232 |
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+ | 0.052 | 13.0 | 975 | 0.0693 | -0.7680 | -13.8630 | 0.9000 | 13.0951 | -90.3762 | -22.8545 | -3.8014 | -3.7232 |
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+ | 0.0866 | 13.3333 | 1000 | 0.0693 | -0.7680 | -13.8630 | 0.9000 | 13.0951 | -90.3762 | -22.8545 | -3.8014 | -3.7232 |
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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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