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tsavage68
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mpt_1000_STEPS_1e6_rate_01_beta_DPO

Text Generation
Transformers
Safetensors
mpt
trl
dpo
Generated from Trainer
custom_code
text-generation-inference
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  1. README.md +79 -0
  2. config.json +46 -0
  3. final_checkpoint/config.json +46 -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 +201 -0
  14. special_tokens_map.json +24 -0
  15. tokenizer.json +0 -0
  16. tokenizer_config.json +212 -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: mosaicml/mpt-7b-instruct
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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: mpt_1000_STEPS_1e6_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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+ # mpt_1000_STEPS_1e6_rate_01_beta_DPO
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+
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+ This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6555
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+ - Rewards/chosen: -0.9911
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+ - Rewards/rejected: -1.1284
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+ - Rewards/accuracies: 0.6220
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+ - Rewards/margins: 0.1372
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+ - Logps/rejected: -32.8413
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+ - Logps/chosen: -30.7037
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+ - Logits/rejected: 12.5582
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+ - Logits/chosen: 12.5620
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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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+ | 0.7012 | 0.1 | 100 | 0.6878 | 0.0402 | 0.0262 | 0.5516 | 0.0140 | -21.2953 | -20.3903 | 14.1969 | 14.1998 |
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+ | 0.6605 | 0.2 | 200 | 0.6893 | 0.1209 | 0.0818 | 0.5670 | 0.0391 | -20.7398 | -19.5837 | 13.0519 | 13.0548 |
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+ | 0.657 | 0.29 | 300 | 0.6715 | -0.4737 | -0.5524 | 0.5758 | 0.0787 | -27.0816 | -25.5295 | 13.1844 | 13.1876 |
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+ | 0.6934 | 0.39 | 400 | 0.6676 | -0.8625 | -0.9556 | 0.5934 | 0.0932 | -31.1138 | -29.4168 | 12.8462 | 12.8498 |
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+ | 0.6891 | 0.49 | 500 | 0.6641 | -1.0231 | -1.1288 | 0.6088 | 0.1057 | -32.8455 | -31.0235 | 12.6874 | 12.6909 |
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+ | 0.6492 | 0.59 | 600 | 0.6564 | -0.9706 | -1.0997 | 0.6462 | 0.1291 | -32.5548 | -30.4985 | 12.7748 | 12.7786 |
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+ | 0.6512 | 0.68 | 700 | 0.6569 | -0.9892 | -1.1224 | 0.6220 | 0.1332 | -32.7819 | -30.6846 | 12.6401 | 12.6438 |
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+ | 0.6687 | 0.78 | 800 | 0.6556 | -0.9937 | -1.1300 | 0.6330 | 0.1363 | -32.8571 | -30.7290 | 12.5528 | 12.5566 |
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+ | 0.6668 | 0.88 | 900 | 0.6552 | -0.9899 | -1.1276 | 0.6308 | 0.1376 | -32.8330 | -30.6916 | 12.5557 | 12.5594 |
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+ | 0.5867 | 0.98 | 1000 | 0.6555 | -0.9911 | -1.1284 | 0.6220 | 0.1372 | -32.8413 | -30.7037 | 12.5582 | 12.5620 |
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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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