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HuggingFaceH4
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mistral-7b-grok

Text Generation
Transformers
Safetensors
mistral
alignment-handbook
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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Add HuggingFaceH4/mistral-7b-dpo-v21.0grokai.0.3 checkpoint

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  1. README.md +104 -0
  2. all_results.json +21 -0
  3. config.json +26 -0
  4. eval_results.json +16 -0
  5. generation_config.json +6 -0
  6. model-00001-of-00003.safetensors +3 -0
  7. model-00002-of-00003.safetensors +3 -0
  8. model-00003-of-00003.safetensors +3 -0
  9. model.safetensors.index.json +298 -0
  10. special_tokens_map.json +30 -0
  11. tokenizer.json +0 -0
  12. tokenizer.model +3 -0
  13. tokenizer_config.json +43 -0
  14. train_results.json +8 -0
  15. trainer_state.json +0 -0
  16. 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: HuggingFaceH4/mistral-7b-cai
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+ tags:
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+ - alignment-handbook
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+ - generated_from_trainer
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized_fixed
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+ - HuggingFaceH4/grok-conversation-harmless
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+ model-index:
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+ - name: mistral-7b-dpo-v21.0grokai.0.3
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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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+ # mistral-7b-dpo-v21.0grokai.0.3
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+
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+ This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-cai](https://huggingface.co/HuggingFaceH4/mistral-7b-cai) on the HuggingFaceH4/ultrafeedback_binarized_fixed and the HuggingFaceH4/grok-conversation-harmless datasets.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6270
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+ - Rewards/chosen: -7.6611
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+ - Rewards/rejected: -12.0970
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+ - Rewards/accuracies: 0.6925
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+ - Rewards/margins: 4.4359
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+ - Logps/rejected: -310.5013
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+ - Logps/chosen: -278.5390
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+ - Logits/rejected: -2.1614
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+ - Logits/chosen: -2.1988
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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: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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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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+ | 0.5994 | 0.1 | 400 | 0.5895 | 0.3053 | -0.0377 | 0.5950 | 0.3430 | -189.9080 | -198.8744 | -2.6272 | -2.6485 |
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+ | 0.5024 | 0.19 | 800 | 0.5112 | -0.1278 | -1.0425 | 0.6675 | 0.9147 | -199.9562 | -203.2059 | -2.5093 | -2.5329 |
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+ | 0.5728 | 0.29 | 1200 | 0.5324 | -0.7435 | -1.7880 | 0.6425 | 1.0445 | -207.4112 | -209.3627 | -2.4771 | -2.5058 |
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+ | 0.7378 | 0.39 | 1600 | 0.5213 | -1.6390 | -2.9308 | 0.6650 | 1.2918 | -218.8383 | -218.3174 | -2.4237 | -2.4525 |
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+ | 0.7467 | 0.48 | 2000 | 0.5788 | -2.2099 | -3.4247 | 0.6575 | 1.2148 | -223.7781 | -224.0264 | -2.4106 | -2.4441 |
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+ | 0.4646 | 0.58 | 2400 | 0.5309 | -1.1360 | -2.6997 | 0.6500 | 1.5638 | -216.5279 | -213.2871 | -2.3683 | -2.3994 |
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+ | 0.7454 | 0.67 | 2800 | 0.5290 | -1.9997 | -3.5594 | 0.6700 | 1.5597 | -225.1247 | -221.9242 | -2.4289 | -2.4575 |
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+ | 0.6092 | 0.77 | 3200 | 0.5124 | -1.6120 | -3.1452 | 0.6850 | 1.5332 | -220.9823 | -218.0472 | -2.4755 | -2.5024 |
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+ | 0.674 | 0.87 | 3600 | 0.5134 | -2.9907 | -4.6954 | 0.6750 | 1.7046 | -236.4846 | -231.8350 | -2.2564 | -2.2885 |
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+ | 0.5585 | 0.96 | 4000 | 0.5065 | -2.5232 | -4.1851 | 0.6725 | 1.6619 | -231.3815 | -227.1594 | -2.3968 | -2.4273 |
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+ | 0.0829 | 1.06 | 4400 | 0.5306 | -3.8333 | -6.1055 | 0.6950 | 2.2723 | -250.5862 | -240.2602 | -2.2149 | -2.2565 |
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+ | 0.1383 | 1.16 | 4800 | 0.5432 | -3.8147 | -5.7333 | 0.6675 | 1.9186 | -246.8635 | -240.0743 | -2.3301 | -2.3643 |
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+ | 0.1425 | 1.25 | 5200 | 0.5238 | -4.7732 | -7.0560 | 0.6650 | 2.2827 | -260.0906 | -249.6600 | -2.1705 | -2.2021 |
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+ | 0.1053 | 1.35 | 5600 | 0.5298 | -4.8922 | -7.5361 | 0.6900 | 2.6439 | -264.8917 | -250.8497 | -2.2597 | -2.2978 |
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+ | 0.1301 | 1.44 | 6000 | 0.5190 | -4.0353 | -6.5781 | 0.6850 | 2.5428 | -255.3118 | -242.2802 | -2.1606 | -2.1992 |
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+ | 0.0789 | 1.54 | 6400 | 0.5184 | -4.6125 | -7.3571 | 0.6775 | 2.7446 | -263.1015 | -248.0527 | -2.2220 | -2.2593 |
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+ | 0.1274 | 1.64 | 6800 | 0.5138 | -3.9081 | -6.5224 | 0.6650 | 2.6143 | -254.7549 | -241.0087 | -2.3238 | -2.3653 |
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+ | 0.1095 | 1.73 | 7200 | 0.5153 | -4.1355 | -6.9746 | 0.6750 | 2.8392 | -259.2772 | -243.2823 | -2.2983 | -2.3396 |
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+ | 0.1515 | 1.83 | 7600 | 0.5242 | -4.5052 | -7.4464 | 0.6625 | 2.9412 | -263.9946 | -246.9796 | -2.2513 | -2.2896 |
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+ | 0.1152 | 1.93 | 8000 | 0.5280 | -4.5281 | -7.5632 | 0.6825 | 3.0351 | -265.1628 | -247.2084 | -2.2822 | -2.3185 |
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+ | 0.0385 | 2.02 | 8400 | 0.5478 | -4.9592 | -8.1827 | 0.6800 | 3.2235 | -271.3580 | -251.5196 | -2.2850 | -2.3214 |
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+ | 0.0401 | 2.12 | 8800 | 0.5999 | -6.1863 | -10.0632 | 0.6800 | 3.8769 | -290.1624 | -263.7904 | -2.1925 | -2.2326 |
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+ | 0.0327 | 2.21 | 9200 | 0.6190 | -5.6591 | -9.4406 | 0.6925 | 3.7815 | -283.9365 | -258.5182 | -2.1369 | -2.1748 |
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+ | 0.0425 | 2.31 | 9600 | 0.6298 | -7.3701 | -11.3769 | 0.6925 | 4.0068 | -303.3002 | -275.6286 | -2.1410 | -2.1775 |
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+ | 0.0387 | 2.41 | 10000 | 0.6269 | -7.3259 | -11.5280 | 0.6975 | 4.2020 | -304.8104 | -275.1870 | -2.1791 | -2.2169 |
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+ | 0.043 | 2.5 | 10400 | 0.6376 | -7.2239 | -11.5783 | 0.6925 | 4.3544 | -305.3137 | -274.1667 | -2.2301 | -2.2663 |
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+ | 0.0577 | 2.6 | 10800 | 0.6290 | -7.6726 | -11.9683 | 0.6925 | 4.2956 | -309.2136 | -278.6540 | -2.1968 | -2.2342 |
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+ | 0.019 | 2.7 | 11200 | 0.6260 | -7.2301 | -11.5298 | 0.6825 | 4.2997 | -304.8287 | -274.2284 | -2.1623 | -2.2006 |
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+ | 0.0328 | 2.79 | 11600 | 0.6325 | -7.6096 | -12.0115 | 0.6950 | 4.4019 | -309.6460 | -278.0234 | -2.1388 | -2.1767 |
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+ | 0.036 | 2.89 | 12000 | 0.6312 | -7.8237 | -12.2628 | 0.6900 | 4.4391 | -312.1590 | -280.1643 | -2.1641 | -2.2011 |
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+ | 0.0216 | 2.98 | 12400 | 0.6283 | -7.6679 | -12.0919 | 0.6900 | 4.4240 | -310.4496 | -278.6061 | -2.1613 | -2.1986 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "train_samples_per_second": 9.519,
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