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tsavage68
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mistralit2_1000_STEPS_5e7_rate_0.1_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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End of training

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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-v0.2
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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: mistralit2_1000_STEPS_5e7_rate_0.1_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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+ # mistralit2_1000_STEPS_5e7_rate_0.1_beta_DPO
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7132
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+ - Rewards/chosen: -3.0068
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+ - Rewards/rejected: -5.0778
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+ - Rewards/accuracies: 0.6813
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+ - Rewards/margins: 2.0710
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+ - Logps/rejected: -79.3505
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+ - Logps/chosen: -53.4537
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+ - Logits/rejected: -2.5776
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+ - Logits/chosen: -2.5788
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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: 5e-07
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+ - train_batch_size: 4
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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: 8
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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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+ | 0.6418 | 0.1 | 50 | 0.6447 | -0.5872 | -0.7568 | 0.5736 | 0.1696 | -36.1403 | -29.2577 | -2.8316 | -2.8320 |
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+ | 0.5915 | 0.2 | 100 | 0.6534 | -2.5902 | -3.2664 | 0.6000 | 0.6762 | -61.2361 | -49.2879 | -2.5920 | -2.5930 |
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+ | 0.6181 | 0.29 | 150 | 0.6108 | -1.7262 | -2.4531 | 0.6352 | 0.7270 | -53.1036 | -40.6475 | -2.6698 | -2.6708 |
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+ | 0.5919 | 0.39 | 200 | 0.6201 | -0.8739 | -1.3497 | 0.6110 | 0.4758 | -42.0694 | -32.1245 | -2.8217 | -2.8224 |
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+ | 0.7232 | 0.49 | 250 | 0.6496 | -2.3019 | -2.8348 | 0.6110 | 0.5328 | -56.9199 | -46.4053 | -2.8105 | -2.8116 |
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+ | 0.6175 | 0.59 | 300 | 0.6052 | -1.3274 | -2.0772 | 0.6440 | 0.7497 | -49.3443 | -36.6603 | -2.8706 | -2.8714 |
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+ | 0.6294 | 0.68 | 350 | 0.5762 | -0.5378 | -1.3786 | 0.6484 | 0.8407 | -42.3582 | -28.7642 | -2.8508 | -2.8515 |
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+ | 0.5572 | 0.78 | 400 | 0.5838 | -2.3342 | -3.3990 | 0.6615 | 1.0648 | -62.5628 | -46.7279 | -2.9194 | -2.9202 |
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+ | 0.5339 | 0.88 | 450 | 0.6065 | -2.3478 | -3.1946 | 0.6615 | 0.8468 | -60.5187 | -46.8642 | -2.8735 | -2.8743 |
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+ | 0.5162 | 0.98 | 500 | 0.6054 | -1.8059 | -2.8617 | 0.6593 | 1.0558 | -57.1895 | -41.4452 | -2.8408 | -2.8416 |
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+ | 0.1367 | 1.07 | 550 | 0.5967 | -1.5441 | -3.2437 | 0.6923 | 1.6996 | -61.0093 | -38.8268 | -2.7152 | -2.7164 |
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+ | 0.1427 | 1.17 | 600 | 0.6612 | -2.6012 | -4.5496 | 0.6923 | 1.9484 | -74.0686 | -49.3976 | -2.6127 | -2.6140 |
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+ | 0.2423 | 1.27 | 650 | 0.6953 | -3.2920 | -5.2913 | 0.6835 | 1.9992 | -81.4852 | -56.3063 | -2.5920 | -2.5933 |
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+ | 0.2461 | 1.37 | 700 | 0.6994 | -3.0907 | -5.0995 | 0.6791 | 2.0088 | -79.5678 | -54.2931 | -2.5993 | -2.6005 |
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+ | 0.05 | 1.46 | 750 | 0.7081 | -2.9719 | -5.0539 | 0.6835 | 2.0820 | -79.1113 | -53.1052 | -2.5893 | -2.5906 |
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+ | 0.1265 | 1.56 | 800 | 0.7096 | -2.9511 | -5.0249 | 0.6791 | 2.0739 | -78.8217 | -52.8965 | -2.5798 | -2.5810 |
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+ | 0.1903 | 1.66 | 850 | 0.7099 | -3.0000 | -5.0705 | 0.6769 | 2.0705 | -79.2773 | -53.3856 | -2.5782 | -2.5795 |
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+ | 0.1908 | 1.76 | 900 | 0.7144 | -3.0075 | -5.0795 | 0.6857 | 2.0720 | -79.3678 | -53.4610 | -2.5779 | -2.5792 |
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+ | 0.2293 | 1.86 | 950 | 0.7119 | -3.0087 | -5.0829 | 0.6835 | 2.0742 | -79.4011 | -53.4726 | -2.5778 | -2.5790 |
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+ | 0.1167 | 1.95 | 1000 | 0.7132 | -3.0068 | -5.0778 | 0.6813 | 2.0710 | -79.3505 | -53.4537 | -2.5776 | -2.5788 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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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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