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nlile
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PE-7b-full

Text Generation
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Safetensors
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Generated from Trainer
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text-generation-inference
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  1. README.md +134 -0
  2. all_results.json +21 -0
  3. eval_results.json +16 -0
  4. generation_config.json +8 -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. train_results.json +8 -0
  10. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ base_model: stabilityai/StableBeluga-7B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: PE-7b-full
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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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+ # PE-7b-full
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+
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+ This model is a fine-tuned version of [stabilityai/StableBeluga-7B](https://huggingface.co/stabilityai/StableBeluga-7B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0066
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+ - Rewards/chosen: -0.4634
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+ - Rewards/rejected: -29.4677
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+ - Rewards/accuracies: 0.9888
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+ - Rewards/margins: 29.0043
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+ - Logps/rejected: -123.7968
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+ - Logps/chosen: -86.4647
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+ - Logits/rejected: -0.9397
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+ - Logits/chosen: -1.0258
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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: 3e-07
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 16
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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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+ | 0.5515 | 0.05 | 100 | 0.5420 | 0.0859 | -0.2570 | 0.9106 | 0.3429 | -65.3753 | -85.3660 | -0.4062 | -0.3984 |
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+ | 0.2448 | 0.09 | 200 | 0.2390 | 0.3339 | -1.2158 | 0.9888 | 1.5497 | -67.2930 | -84.8700 | -0.3981 | -0.3938 |
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+ | 0.0948 | 0.14 | 300 | 0.0937 | 0.5868 | -2.7801 | 0.9888 | 3.3669 | -70.4216 | -84.3642 | -0.4035 | -0.4048 |
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+ | 0.0466 | 0.18 | 400 | 0.0534 | 0.8294 | -3.8553 | 0.9888 | 4.6847 | -72.5720 | -83.8791 | -0.4093 | -0.4163 |
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+ | 0.0261 | 0.23 | 500 | 0.0265 | 0.9450 | -6.0844 | 0.9888 | 7.0294 | -77.0302 | -83.6478 | -0.4364 | -0.4554 |
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+ | 0.0129 | 0.27 | 600 | 0.0155 | 0.8955 | -9.0192 | 0.9888 | 9.9148 | -82.8998 | -83.7468 | -0.4445 | -0.4719 |
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+ | 0.0069 | 0.32 | 700 | 0.0112 | 0.7377 | -12.1121 | 0.9888 | 12.8498 | -89.0856 | -84.0625 | -0.4617 | -0.4981 |
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+ | 0.0044 | 0.37 | 800 | 0.0095 | 0.5497 | -14.1581 | 0.9888 | 14.7077 | -93.1776 | -84.4385 | -0.4990 | -0.5433 |
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+ | 0.004 | 0.41 | 900 | 0.0095 | 0.5781 | -16.2335 | 0.9888 | 16.8116 | -97.3284 | -84.3816 | -0.5203 | -0.5699 |
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+ | 0.0046 | 0.46 | 1000 | 0.0089 | 0.7788 | -16.4021 | 0.9944 | 17.1809 | -97.6655 | -83.9802 | -0.5542 | -0.6027 |
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+ | 0.0127 | 0.5 | 1100 | 0.0080 | 0.7755 | -16.5854 | 0.9972 | 17.3608 | -98.0321 | -83.9869 | -0.5407 | -0.5882 |
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+ | 0.0192 | 0.55 | 1200 | 0.0082 | 0.8670 | -16.5839 | 0.9916 | 17.4509 | -98.0292 | -83.8038 | -0.5752 | -0.6293 |
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+ | 0.0043 | 0.59 | 1300 | 0.0083 | 0.7239 | -18.6420 | 0.9888 | 19.3659 | -102.1455 | -84.0900 | -0.5830 | -0.6429 |
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+ | 0.0063 | 0.64 | 1400 | 0.0078 | 0.7659 | -18.6685 | 0.9944 | 19.4343 | -102.1983 | -84.0061 | -0.6007 | -0.6587 |
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+ | 0.0022 | 0.68 | 1500 | 0.0079 | 0.5026 | -19.6619 | 0.9888 | 20.1645 | -104.1852 | -84.5328 | -0.5968 | -0.6541 |
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+ | 0.005 | 0.73 | 1600 | 0.0069 | 0.7199 | -19.4554 | 0.9888 | 20.1754 | -103.7723 | -84.0980 | -0.6482 | -0.7077 |
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+ | 0.0038 | 0.78 | 1700 | 0.0068 | 0.8857 | -19.6624 | 0.9888 | 20.5482 | -104.1863 | -83.7664 | -0.6247 | -0.6826 |
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+ | 0.0073 | 0.82 | 1800 | 0.0069 | 1.0901 | -19.2226 | 0.9888 | 20.3128 | -103.3067 | -83.3576 | -0.5992 | -0.6539 |
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+ | 0.003 | 0.87 | 1900 | 0.0070 | 0.8410 | -20.8141 | 0.9916 | 21.6551 | -106.4896 | -83.8559 | -0.6232 | -0.6807 |
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+ | 0.01 | 0.91 | 2000 | 0.0059 | 1.1930 | -19.2176 | 0.9916 | 20.4106 | -103.2967 | -83.1518 | -0.6641 | -0.7237 |
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+ | 0.0061 | 0.96 | 2100 | 0.0059 | 1.6526 | -18.5437 | 0.9944 | 20.1963 | -101.9488 | -82.2327 | -0.6358 | -0.6923 |
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+ | 0.0024 | 1.0 | 2200 | 0.0058 | 1.1178 | -18.9331 | 0.9916 | 20.0508 | -102.7275 | -83.3023 | -0.6583 | -0.7134 |
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+ | 0.0027 | 1.05 | 2300 | 0.0058 | 1.1025 | -19.5454 | 0.9916 | 20.6479 | -103.9522 | -83.3328 | -0.6872 | -0.7461 |
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+ | 0.0057 | 1.1 | 2400 | 0.0061 | 0.8696 | -21.2149 | 0.9972 | 22.0845 | -107.2913 | -83.7987 | -0.7055 | -0.7693 |
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+ | 0.0076 | 1.14 | 2500 | 0.0055 | 1.0200 | -20.0814 | 0.9916 | 21.1015 | -105.0243 | -83.4978 | -0.7059 | -0.7654 |
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+ | 0.0025 | 1.19 | 2600 | 0.0058 | 1.1592 | -20.6357 | 0.9916 | 21.7949 | -106.1328 | -83.2194 | -0.6809 | -0.7385 |
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+ | 0.0046 | 1.23 | 2700 | 0.0057 | 0.8385 | -20.2499 | 0.9916 | 21.0883 | -105.3611 | -83.8609 | -0.6824 | -0.7374 |
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+ | 0.0039 | 1.28 | 2800 | 0.0058 | 0.6816 | -20.7605 | 0.9944 | 21.4421 | -106.3823 | -84.1746 | -0.7219 | -0.7845 |
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+ | 0.0024 | 1.32 | 2900 | 0.0059 | 0.7668 | -22.0609 | 0.9916 | 22.8277 | -108.9833 | -84.0043 | -0.7625 | -0.8322 |
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+ | 0.0033 | 1.37 | 3000 | 0.0055 | 1.3010 | -20.9961 | 0.9916 | 22.2971 | -106.8535 | -82.9359 | -0.7534 | -0.8209 |
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+ | 0.0035 | 1.42 | 3100 | 0.0054 | 1.3118 | -20.5134 | 0.9916 | 21.8252 | -105.8883 | -82.9143 | -0.7521 | -0.8162 |
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+ | 0.0033 | 1.46 | 3200 | 0.0055 | 1.3335 | -20.8912 | 0.9944 | 22.2247 | -106.6437 | -82.8708 | -0.7612 | -0.8293 |
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+ | 0.0021 | 1.51 | 3300 | 0.0058 | 1.1173 | -22.2893 | 0.9916 | 23.4066 | -109.4400 | -83.3032 | -0.7843 | -0.8567 |
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+ | 0.0012 | 1.55 | 3400 | 0.0064 | 0.9283 | -23.7370 | 0.9916 | 24.6653 | -112.3355 | -83.6813 | -0.7884 | -0.8611 |
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+ | 0.0004 | 1.6 | 3500 | 0.0068 | 0.9145 | -24.8915 | 0.9916 | 25.8060 | -114.6444 | -83.7089 | -0.7965 | -0.8752 |
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+ | 0.0035 | 1.64 | 3600 | 0.0063 | 0.9910 | -24.2224 | 0.9916 | 25.2134 | -113.3062 | -83.5558 | -0.8029 | -0.8784 |
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+ | 0.0031 | 1.69 | 3700 | 0.0069 | 0.6681 | -25.5613 | 0.9888 | 26.2294 | -115.9840 | -84.2016 | -0.8334 | -0.9142 |
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+ | 0.0063 | 1.73 | 3800 | 0.0064 | 0.9458 | -24.5955 | 0.9916 | 25.5413 | -114.0523 | -83.6462 | -0.8256 | -0.9017 |
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+ | 0.0041 | 1.78 | 3900 | 0.0067 | 1.2097 | -24.8538 | 0.9916 | 26.0635 | -114.5689 | -83.1184 | -0.8070 | -0.8836 |
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+ | 0.0034 | 1.83 | 4000 | 0.0062 | 1.4285 | -24.3976 | 0.9916 | 25.8261 | -113.6566 | -82.6809 | -0.8036 | -0.8783 |
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+ | 0.0043 | 1.87 | 4100 | 0.0064 | 1.2740 | -24.3713 | 0.9916 | 25.6453 | -113.6040 | -82.9898 | -0.7990 | -0.8751 |
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+ | 0.0008 | 1.92 | 4200 | 0.0062 | 0.8474 | -23.9420 | 0.9888 | 24.7894 | -112.7454 | -83.8431 | -0.7886 | -0.8626 |
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+ | 0.0045 | 1.96 | 4300 | 0.0061 | 0.7728 | -24.1102 | 0.9888 | 24.8830 | -113.0818 | -83.9923 | -0.8065 | -0.8774 |
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+ | 0.0025 | 2.01 | 4400 | 0.0056 | 0.6654 | -23.7611 | 0.9916 | 24.4265 | -112.3836 | -84.2071 | -0.8145 | -0.8857 |
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+ | 0.0032 | 2.05 | 4500 | 0.0057 | 0.3483 | -24.4947 | 0.9944 | 24.8430 | -113.8508 | -84.8413 | -0.8185 | -0.8907 |
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+ | 0.0022 | 2.1 | 4600 | 0.0058 | 0.2667 | -24.9497 | 0.9916 | 25.2165 | -114.7609 | -85.0044 | -0.8229 | -0.8971 |
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+ | 0.0011 | 2.15 | 4700 | 0.0060 | -0.0008 | -25.6118 | 0.9888 | 25.6110 | -116.0850 | -85.5395 | -0.8374 | -0.9151 |
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+ | 0.0066 | 2.19 | 4800 | 0.0061 | -0.0374 | -26.0644 | 0.9916 | 26.0271 | -116.9903 | -85.6126 | -0.8540 | -0.9306 |
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+ | 0.0022 | 2.24 | 4900 | 0.0063 | 0.0818 | -26.4597 | 0.9888 | 26.5415 | -117.7807 | -85.3742 | -0.8703 | -0.9493 |
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+ | 0.0028 | 2.28 | 5000 | 0.0077 | -0.7880 | -28.0697 | 0.9888 | 27.2817 | -121.0009 | -87.1139 | -0.8802 | -0.9634 |
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+ | 0.0038 | 2.33 | 5100 | 0.0068 | -0.2700 | -27.7191 | 0.9888 | 27.4491 | -120.2996 | -86.0779 | -0.8897 | -0.9719 |
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+ | 0.0044 | 2.37 | 5200 | 0.0071 | -0.4228 | -28.3790 | 0.9916 | 27.9562 | -121.6195 | -86.3835 | -0.8925 | -0.9753 |
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+ | 0.0022 | 2.42 | 5300 | 0.0072 | -0.5950 | -29.1837 | 0.9888 | 28.5887 | -123.2288 | -86.7278 | -0.9123 | -0.9960 |
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+ | 0.0022 | 2.46 | 5400 | 0.0073 | -0.7860 | -29.4389 | 0.9888 | 28.6529 | -123.7393 | -87.1098 | -0.9223 | -1.0087 |
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+ | 0.0001 | 2.51 | 5500 | 0.0073 | -0.9058 | -29.7384 | 0.9888 | 28.8326 | -124.3382 | -87.3495 | -0.9299 | -1.0164 |
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+ | 0.0022 | 2.56 | 5600 | 0.0070 | -0.8180 | -29.5150 | 0.9916 | 28.6970 | -123.8913 | -87.1738 | -0.9322 | -1.0181 |
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+ | 0.0011 | 2.6 | 5700 | 0.0071 | -0.6171 | -29.4081 | 0.9888 | 28.7910 | -123.6776 | -86.7721 | -0.9332 | -1.0216 |
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+ | 0.0054 | 2.65 | 5800 | 0.0071 | -0.6641 | -29.7689 | 0.9888 | 29.1048 | -124.3992 | -86.8661 | -0.9405 | -1.0273 |
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+ | 0.0033 | 2.69 | 5900 | 0.0067 | -0.8082 | -29.8306 | 0.9916 | 29.0224 | -124.5226 | -87.1543 | -0.9436 | -1.0315 |
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+ | 0.0011 | 2.74 | 6000 | 0.0068 | -0.7323 | -29.7235 | 0.9888 | 28.9912 | -124.3083 | -87.0024 | -0.9401 | -1.0278 |
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+ | 0.0011 | 2.78 | 6100 | 0.0065 | -0.5717 | -29.4620 | 0.9916 | 28.8903 | -123.7853 | -86.6812 | -0.9389 | -1.0250 |
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+ | 0.0023 | 2.83 | 6200 | 0.0066 | -0.5549 | -29.5194 | 0.9916 | 28.9645 | -123.9002 | -86.6477 | -0.9369 | -1.0244 |
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+ | 0.0022 | 2.88 | 6300 | 0.0065 | -0.4476 | -29.3706 | 0.9916 | 28.9230 | -123.6025 | -86.4330 | -0.9362 | -1.0220 |
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+ | 0.0035 | 2.92 | 6400 | 0.0066 | -0.4967 | -29.5205 | 0.9916 | 29.0238 | -123.9024 | -86.5313 | -0.9395 | -1.0256 |
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+ | 0.0012 | 2.97 | 6500 | 0.0065 | -0.4666 | -29.4634 | 0.9916 | 28.9968 | -123.7882 | -86.4710 | -0.9381 | -1.0240 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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