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vwxyzjn
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mistral-7b-dpo-constitutional-ai

Text Generation
Transformers
TensorBoard
Safetensors
mistral
alignment-handbook
Generated from Trainer
trl
dpo
conversational
Inference Endpoints
text-generation-inference
Model card Files Metrics Community
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  1. README.md +225 -0
  2. all_results.json +21 -0
  3. eval_results.json +16 -0
  4. generation_config.json +6 -0
  5. model-00001-of-00003.safetensors +3 -0
  6. model-00002-of-00003.safetensors +3 -0
  7. model-00003-of-00003.safetensors +3 -0
  8. model.safetensors.index.json +298 -0
  9. runs/Jan31_19-41-46_ip-26-0-171-62/events.out.tfevents.1706730164.ip-26-0-171-62.1965394.0 +2 -2
  10. runs/Jan31_19-41-46_ip-26-0-171-62/events.out.tfevents.1706780882.ip-26-0-171-62.1965394.1 +3 -0
  11. train_results.json +8 -0
  12. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: alignment-handbook/mistral-7b-sft-constitutional-ai
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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: mistral-7b-dpo-constitutional-ai
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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-constitutional-ai
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+
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+ This model is a fine-tuned version of [alignment-handbook/mistral-7b-sft-constitutional-ai](https://huggingface.co/alignment-handbook/mistral-7b-sft-constitutional-ai) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6730
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+ - Rewards/chosen: -13.2619
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+ - Rewards/rejected: -22.1436
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+ - Rewards/accuracies: 0.7075
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+ - Rewards/margins: 8.8817
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+ - Logps/rejected: -393.3515
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+ - Logps/chosen: -326.8571
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+ - Logits/rejected: -2.4037
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+ - Logits/chosen: -2.4315
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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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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+ |:-------------:|:-----:|:-----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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+ | 0.6896 | 0.02 | 100 | -3.1677 | -3.1771 | -194.1546 | -171.9473 | 0.6890 | 0.5475 | 0.0084 | 0.0115 | -0.0031 |
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+ | 0.6665 | 0.04 | 200 | 0.6632 | 0.0758 | -0.0052 | 0.6450 | 0.0810 | -171.9678 | -193.4802 | -3.1751 | -3.1655 |
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+ | 0.6381 | 0.06 | 300 | 0.6210 | 0.1621 | -0.0714 | 0.6875 | 0.2335 | -172.6297 | -192.6168 | -3.1717 | -3.1615 |
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+ | 0.5753 | 0.08 | 400 | 0.5865 | 0.0774 | -0.3384 | 0.6975 | 0.4158 | -175.2999 | -193.4643 | -3.1545 | -3.1444 |
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+ | 0.5092 | 0.1 | 500 | 0.5518 | -0.0506 | -0.6697 | 0.7100 | 0.6192 | -178.6130 | -194.7436 | -3.1476 | -3.1387 |
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+ | 0.5374 | 0.12 | 600 | 0.5302 | -0.3254 | -1.1236 | 0.7150 | 0.7982 | -183.1516 | -197.4919 | -3.1268 | -3.1175 |
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+ | 0.4719 | 0.14 | 700 | 0.5122 | -0.5479 | -1.5575 | 0.7225 | 1.0096 | -187.4913 | -199.7175 | -3.1106 | -3.1009 |
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+ | 0.5036 | 0.16 | 800 | 0.5093 | -0.3534 | -1.5324 | 0.7075 | 1.1789 | -187.2395 | -197.7726 | -3.1155 | -3.1069 |
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+ | 0.456 | 0.17 | 900 | 0.5018 | -1.1302 | -2.4591 | 0.7250 | 1.3289 | -196.5069 | -205.5396 | -3.0940 | -3.0859 |
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+ | 0.574 | 0.19 | 1000 | 0.5006 | -1.2309 | -2.6549 | 0.7200 | 1.4240 | -198.4646 | -206.5471 | -3.0788 | -3.0726 |
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+ | 0.5162 | 0.21 | 1100 | 0.5014 | -1.8915 | -3.4039 | 0.7125 | 1.5124 | -205.9553 | -213.1533 | -3.0310 | -3.0228 |
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+ | 0.5772 | 0.23 | 1200 | 0.4930 | -2.7962 | -4.4210 | 0.7150 | 1.6247 | -216.1257 | -222.2005 | -3.0464 | -3.0409 |
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+ | 0.5046 | 0.25 | 1300 | 0.4965 | -2.0275 | -3.8599 | 0.7075 | 1.8323 | -210.5148 | -214.5135 | -2.9547 | -2.9496 |
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+ | 0.4987 | 0.27 | 1400 | 0.4858 | -2.1834 | -4.1148 | 0.7050 | 1.9313 | -213.0636 | -216.0722 | -2.9468 | -2.9388 |
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+ | 0.4808 | 0.29 | 1500 | 0.4956 | -2.2201 | -4.2035 | 0.7225 | 1.9835 | -213.9512 | -216.4386 | -2.8319 | -2.8259 |
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+ | 0.5445 | 0.31 | 1600 | 0.4917 | -2.7200 | -4.6427 | 0.7150 | 1.9227 | -218.3425 | -221.4376 | -2.8427 | -2.8415 |
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+ | 0.5903 | 0.33 | 1700 | 0.5078 | -2.4677 | -4.5796 | 0.6850 | 2.1119 | -217.7116 | -218.9146 | -2.9215 | -2.9204 |
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+ | 0.4285 | 0.35 | 1800 | 0.4977 | -2.7944 | -5.1756 | 0.6825 | 2.3811 | -223.6717 | -222.1824 | -2.7299 | -2.7308 |
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+ | 0.5443 | 0.37 | 1900 | 0.4874 | -3.1231 | -5.5313 | 0.6950 | 2.4081 | -227.2286 | -225.4695 | -2.8392 | -2.8397 |
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+ | 0.4776 | 0.39 | 2000 | 0.4851 | -3.3957 | -5.8725 | 0.7000 | 2.4767 | -230.6406 | -228.1953 | -2.6600 | -2.6676 |
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+ | 0.5387 | 0.41 | 2100 | 0.5211 | -3.8093 | -6.1883 | 0.7200 | 2.3790 | -233.7993 | -232.3311 | -2.8038 | -2.8139 |
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+ | 0.5673 | 0.43 | 2200 | 0.5023 | -3.5883 | -5.9175 | 0.7150 | 2.3292 | -231.0912 | -230.1214 | -2.8037 | -2.8138 |
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+ | 0.5005 | 0.45 | 2300 | 0.4872 | -4.1436 | -6.3181 | 0.7100 | 2.1745 | -235.0966 | -235.6737 | -2.8294 | -2.8332 |
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+ | 0.6603 | 0.47 | 2400 | 0.5267 | -3.3589 | -5.5272 | 0.7075 | 2.1683 | -227.1882 | -227.8270 | -2.8627 | -2.8651 |
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+ | 0.5727 | 0.49 | 2500 | 0.4951 | -3.3625 | -5.6616 | 0.6975 | 2.2991 | -228.5322 | -227.8636 | -2.8476 | -2.8481 |
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+ | 0.5962 | 0.5 | 2600 | 0.4849 | -3.1557 | -5.5646 | 0.7050 | 2.4088 | -227.5615 | -225.7954 | -2.7944 | -2.7953 |
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+ | 0.5934 | 0.52 | 2700 | 0.4860 | -3.8532 | -6.7557 | 0.7125 | 2.9025 | -239.4730 | -232.7698 | -2.7885 | -2.7894 |
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+ | 0.5091 | 0.54 | 2800 | 0.4818 | -4.7384 | -7.6121 | 0.7225 | 2.8738 | -248.0370 | -241.6216 | -2.7868 | -2.7894 |
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+ | 0.4864 | 0.56 | 2900 | 0.4803 | -4.1245 | -6.9430 | 0.7175 | 2.8185 | -241.3460 | -235.4826 | -2.7678 | -2.7678 |
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+ | 0.4882 | 0.58 | 3000 | 0.4968 | -3.5637 | -6.0747 | 0.6975 | 2.5109 | -232.6625 | -229.8754 | -2.7911 | -2.7899 |
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+ | 0.4958 | 0.6 | 3100 | 0.4830 | -4.0211 | -6.7889 | 0.7000 | 2.7679 | -239.8054 | -234.4488 | -2.8052 | -2.8041 |
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+ | 0.6056 | 0.62 | 3200 | 0.4876 | -3.3706 | -6.0612 | 0.7125 | 2.6906 | -232.5282 | -227.9439 | -2.8433 | -2.8414 |
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+ | 0.6339 | 0.64 | 3300 | 0.5043 | -3.5676 | -6.4130 | 0.7150 | 2.8453 | -236.0455 | -229.9143 | -2.7996 | -2.8006 |
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+ | 0.5974 | 0.66 | 3400 | 0.5701 | -4.3288 | -6.8724 | 0.6975 | 2.5436 | -240.6396 | -237.5260 | -2.6382 | -2.6407 |
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+ | 0.4836 | 0.68 | 3500 | 0.5171 | -5.5367 | -8.5107 | 0.7100 | 2.9739 | -257.0226 | -249.6052 | -2.5631 | -2.5693 |
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+ | 0.6342 | 0.7 | 3600 | 0.5060 | -4.7743 | -7.7389 | 0.7125 | 2.9646 | -249.3053 | -241.9812 | -2.5904 | -2.5960 |
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+ | 0.5143 | 0.72 | 3700 | 0.4835 | -3.2159 | -5.8473 | 0.7000 | 2.6314 | -230.3890 | -226.3973 | -2.6497 | -2.6518 |
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+ | 0.5471 | 0.74 | 3800 | 0.5060 | -4.2691 | -7.0738 | 0.6925 | 2.8047 | -242.6543 | -236.9293 | -2.7508 | -2.7518 |
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+ | 0.4817 | 0.76 | 3900 | 0.5294 | -4.4262 | -7.2968 | 0.6975 | 2.8706 | -244.8839 | -238.4999 | -2.6395 | -2.6443 |
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+ | 0.4616 | 0.78 | 4000 | 0.5019 | -4.5134 | -7.6868 | 0.7050 | 3.1733 | -248.7837 | -239.3724 | -2.6056 | -2.6114 |
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+ | 0.5042 | 0.8 | 4100 | 0.5084 | -4.2298 | -7.2113 | 0.6975 | 2.9816 | -244.0292 | -236.5357 | -2.5689 | -2.5812 |
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+ | 0.5486 | 0.82 | 4200 | 0.5036 | -5.0660 | -8.1825 | 0.7025 | 3.1165 | -253.7406 | -244.8979 | -2.6022 | -2.6123 |
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+ | 0.4509 | 0.83 | 4300 | 0.4977 | -5.3656 | -8.6440 | 0.7200 | 3.2784 | -258.3560 | -247.8943 | -2.6750 | -2.6865 |
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+ | 0.4964 | 0.85 | 4400 | 0.5052 | -4.1702 | -7.4107 | 0.7025 | 3.2405 | -246.0230 | -235.9397 | -2.6844 | -2.6917 |
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+ | 0.5711 | 0.87 | 4500 | 0.4862 | -4.8093 | -8.4396 | 0.7100 | 3.6303 | -256.3118 | -242.3308 | -2.5774 | -2.5880 |
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+ | 0.5481 | 0.89 | 4600 | 0.4935 | -3.3995 | -6.4894 | 0.7100 | 3.0899 | -236.8096 | -228.2326 | -2.6268 | -2.6335 |
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+ | 0.4468 | 0.91 | 4700 | 0.4905 | -3.7618 | -6.8195 | 0.7000 | 3.0577 | -240.1110 | -231.8562 | -2.7280 | -2.7352 |
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+ | 0.5001 | 0.93 | 4800 | 0.4867 | -4.5571 | -8.3247 | 0.7025 | 3.7676 | -255.1630 | -239.8094 | -2.7686 | -2.7782 |
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+ | 0.4342 | 0.95 | 4900 | 0.4948 | -4.5786 | -7.9872 | 0.7000 | 3.4086 | -251.7877 | -240.0242 | -2.7917 | -2.7980 |
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+ | 0.5148 | 0.97 | 5000 | 0.4877 | -5.1096 | -8.4529 | 0.6925 | 3.3433 | -256.4448 | -245.3341 | -2.8001 | -2.8058 |
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+ | 0.456 | 0.99 | 5100 | 0.4937 | -4.2851 | -7.4575 | 0.6950 | 3.1723 | -246.4907 | -237.0894 | -2.6952 | -2.6993 |
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+ | 0.1524 | 1.01 | 5200 | 0.4892 | -4.5395 | -8.3117 | 0.7050 | 3.7722 | -255.0330 | -239.6328 | -2.6544 | -2.6617 |
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+ | 0.1647 | 1.03 | 5300 | 0.5095 | -5.2562 | -9.5283 | 0.7000 | 4.2721 | -267.1991 | -246.8001 | -2.6140 | -2.6246 |
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+ | 0.1757 | 1.05 | 5400 | 0.5466 | -4.5672 | -8.6264 | 0.7100 | 4.0592 | -258.1795 | -239.9100 | -2.5278 | -2.5419 |
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+ | 0.1386 | 1.07 | 5500 | 0.5161 | -5.6603 | -10.2201 | 0.7000 | 4.5598 | -274.1167 | -250.8408 | -2.6169 | -2.6286 |
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+ | 0.0945 | 1.09 | 5600 | 0.5457 | -6.4516 | -10.8169 | 0.7075 | 4.3653 | -280.0851 | -258.7542 | -2.6735 | -2.6844 |
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+ | 0.1396 | 1.11 | 5700 | 0.5313 | -5.8463 | -9.3298 | 0.6875 | 3.4835 | -265.2138 | -252.7006 | -2.6761 | -2.6860 |
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+ | 0.0672 | 1.13 | 5800 | 0.5429 | -4.8659 | -8.1130 | 0.6825 | 3.2471 | -253.0459 | -242.8967 | -2.7019 | -2.7118 |
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+ | 0.1091 | 1.15 | 5900 | 0.5826 | -6.4030 | -10.4523 | 0.6950 | 4.0493 | -276.4388 | -258.2681 | -2.6196 | -2.6339 |
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+ | 0.1643 | 1.16 | 6000 | 0.5503 | -6.7800 | -11.1528 | 0.7050 | 4.3728 | -283.4437 | -262.0378 | -2.5799 | -2.5910 |
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+ | 0.1091 | 1.18 | 6100 | 0.5209 | -6.3057 | -10.2456 | 0.7075 | 3.9399 | -274.3719 | -257.2953 | -2.6904 | -2.7025 |
125
+ | 0.1128 | 1.2 | 6200 | 0.5366 | -6.6096 | -11.0874 | 0.7050 | 4.4778 | -282.7897 | -260.3337 | -2.6117 | -2.6289 |
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+ | 0.2009 | 1.22 | 6300 | 0.5346 | -7.9528 | -12.6518 | 0.7100 | 4.6990 | -298.4337 | -273.7660 | -2.7132 | -2.7317 |
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+ | 0.1862 | 1.24 | 6400 | 0.5410 | -8.5641 | -13.2525 | 0.7050 | 4.6884 | -304.4410 | -279.8788 | -2.6740 | -2.6900 |
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+ | 0.137 | 1.26 | 6500 | 0.6052 | -5.1981 | -9.2068 | 0.6850 | 4.0087 | -263.9841 | -246.2192 | -2.7289 | -2.7445 |
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+ | 0.2336 | 1.28 | 6600 | 0.5168 | -6.2470 | -10.5787 | 0.6950 | 4.3317 | -277.7033 | -256.7079 | -2.6187 | -2.6338 |
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+ | 0.1341 | 1.3 | 6700 | 0.5187 | -6.1031 | -10.6578 | 0.6975 | 4.5547 | -278.4937 | -255.2690 | -2.7004 | -2.7111 |
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+ | 0.0945 | 1.32 | 6800 | 0.5340 | -6.7845 | -11.3285 | 0.7175 | 4.5440 | -285.2012 | -262.0835 | -2.5875 | -2.5996 |
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+ | 0.1569 | 1.34 | 6900 | 0.5556 | -7.1182 | -11.5857 | 0.7025 | 4.4675 | -287.7730 | -265.4196 | -2.4990 | -2.5094 |
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+ | 0.1122 | 1.36 | 7000 | 0.5235 | -6.6992 | -11.4976 | 0.7075 | 4.7983 | -286.8915 | -261.2301 | -2.5685 | -2.5817 |
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+ | 0.126 | 1.38 | 7100 | 0.5673 | -7.6522 | -12.6005 | 0.7025 | 4.9483 | -297.9209 | -270.7601 | -2.5857 | -2.5972 |
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+ | 0.0913 | 1.4 | 7200 | 0.5452 | -8.0889 | -13.4935 | 0.7075 | 5.4046 | -306.8511 | -275.1268 | -2.5162 | -2.5292 |
136
+ | 0.1582 | 1.42 | 7300 | 0.5486 | -8.1334 | -12.8551 | 0.6800 | 4.7218 | -300.4672 | -275.5717 | -2.6257 | -2.6350 |
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+ | 0.1205 | 1.44 | 7400 | 0.5641 | -7.6471 | -12.6048 | 0.6925 | 4.9577 | -297.9639 | -270.7087 | -2.4955 | -2.5095 |
138
+ | 0.1483 | 1.46 | 7500 | 0.5353 | -6.8197 | -11.9537 | 0.7100 | 5.1340 | -291.4525 | -262.4351 | -2.4457 | -2.4622 |
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+ | 0.1431 | 1.48 | 7600 | 0.5331 | -7.2397 | -12.3675 | 0.6975 | 5.1277 | -295.5908 | -266.6355 | -2.4740 | -2.4903 |
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+ | 0.1604 | 1.49 | 7700 | 0.5209 | -7.0411 | -12.0568 | 0.7050 | 5.0158 | -292.4845 | -264.6489 | -2.5381 | -2.5512 |
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+ | 0.1578 | 1.51 | 7800 | 0.5121 | -6.9548 | -11.8277 | 0.6950 | 4.8729 | -290.1931 | -263.7859 | -2.5551 | -2.5713 |
142
+ | 0.1548 | 1.53 | 7900 | 0.5030 | -7.1085 | -11.7981 | 0.6900 | 4.6896 | -289.8969 | -265.3228 | -2.5464 | -2.5678 |
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+ | 0.114 | 1.55 | 8000 | 0.5224 | -7.2558 | -12.1665 | 0.7075 | 4.9107 | -293.5809 | -266.7961 | -2.5693 | -2.5890 |
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+ | 0.112 | 1.57 | 8100 | 0.5374 | -6.0601 | -10.5624 | 0.7000 | 4.5023 | -277.5395 | -254.8386 | -2.5735 | -2.5933 |
145
+ | 0.1436 | 1.59 | 8200 | 0.5276 | -7.0490 | -11.9957 | 0.7175 | 4.9467 | -291.8731 | -264.7281 | -2.5737 | -2.5931 |
146
+ | 0.1369 | 1.61 | 8300 | 0.5191 | -6.7010 | -11.3389 | 0.6875 | 4.6378 | -285.3046 | -261.2485 | -2.5764 | -2.5965 |
147
+ | 0.1545 | 1.63 | 8400 | 0.5306 | -7.5656 | -12.7404 | 0.6975 | 5.1748 | -299.3195 | -269.8939 | -2.4636 | -2.4827 |
148
+ | 0.1052 | 1.65 | 8500 | 0.5248 | -9.0789 | -14.5883 | 0.6975 | 5.5093 | -317.7987 | -285.0275 | -2.3273 | -2.3513 |
149
+ | 0.1193 | 1.67 | 8600 | 0.5251 | -8.3078 | -13.6412 | 0.6925 | 5.3334 | -308.3281 | -277.3158 | -2.3198 | -2.3432 |
150
+ | 0.143 | 1.69 | 8700 | 0.5170 | -7.0677 | -11.8368 | 0.7000 | 4.7691 | -290.2836 | -264.9151 | -2.4523 | -2.4667 |
151
+ | 0.0811 | 1.71 | 8800 | 0.5284 | -9.8027 | -14.9178 | 0.6925 | 5.1151 | -321.0940 | -292.2650 | -2.4860 | -2.5043 |
152
+ | 0.1453 | 1.73 | 8900 | 0.5207 | -9.0979 | -13.9403 | 0.6900 | 4.8424 | -311.3193 | -285.2171 | -2.4686 | -2.4829 |
153
+ | 0.1157 | 1.75 | 9000 | 0.5219 | -8.2920 | -13.4085 | 0.6950 | 5.1166 | -306.0013 | -277.1577 | -2.4449 | -2.4595 |
154
+ | 0.127 | 1.77 | 9100 | 0.5276 | -6.9887 | -11.5591 | 0.6825 | 4.5704 | -287.5068 | -264.1252 | -2.4681 | -2.4831 |
155
+ | 0.0787 | 1.79 | 9200 | 0.5369 | -6.7075 | -11.2769 | 0.7000 | 4.5694 | -284.6848 | -261.3131 | -2.4596 | -2.4762 |
156
+ | 0.1575 | 1.81 | 9300 | 0.5331 | -8.4908 | -13.7127 | 0.7050 | 5.2220 | -309.0434 | -279.1460 | -2.4321 | -2.4546 |
157
+ | 0.1627 | 1.82 | 9400 | 0.5200 | -6.8366 | -10.9055 | 0.7125 | 4.0689 | -280.9706 | -262.6037 | -2.5689 | -2.5831 |
158
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+
219
+
220
+ ### Framework versions
221
+
222
+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.1
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