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mistral-7b-anthropic - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/HuggingFaceH4/mistral-7b-anthropic/
Name | Quant method | Size |
---|---|---|
mistral-7b-anthropic.Q2_K.gguf | Q2_K | 2.53GB |
mistral-7b-anthropic.IQ3_XS.gguf | IQ3_XS | 2.81GB |
mistral-7b-anthropic.IQ3_S.gguf | IQ3_S | 2.96GB |
mistral-7b-anthropic.Q3_K_S.gguf | Q3_K_S | 2.95GB |
mistral-7b-anthropic.IQ3_M.gguf | IQ3_M | 3.06GB |
mistral-7b-anthropic.Q3_K.gguf | Q3_K | 3.28GB |
mistral-7b-anthropic.Q3_K_M.gguf | Q3_K_M | 3.28GB |
mistral-7b-anthropic.Q3_K_L.gguf | Q3_K_L | 3.56GB |
mistral-7b-anthropic.IQ4_XS.gguf | IQ4_XS | 3.67GB |
mistral-7b-anthropic.Q4_0.gguf | Q4_0 | 3.83GB |
mistral-7b-anthropic.IQ4_NL.gguf | IQ4_NL | 3.87GB |
mistral-7b-anthropic.Q4_K_S.gguf | Q4_K_S | 3.86GB |
mistral-7b-anthropic.Q4_K.gguf | Q4_K | 4.07GB |
mistral-7b-anthropic.Q4_K_M.gguf | Q4_K_M | 4.07GB |
mistral-7b-anthropic.Q4_1.gguf | Q4_1 | 4.24GB |
mistral-7b-anthropic.Q5_0.gguf | Q5_0 | 4.65GB |
mistral-7b-anthropic.Q5_K_S.gguf | Q5_K_S | 4.65GB |
mistral-7b-anthropic.Q5_K.gguf | Q5_K | 4.78GB |
mistral-7b-anthropic.Q5_K_M.gguf | Q5_K_M | 4.78GB |
mistral-7b-anthropic.Q5_1.gguf | Q5_1 | 5.07GB |
mistral-7b-anthropic.Q6_K.gguf | Q6_K | 5.53GB |
Original model description:
license: apache-2.0 base_model: HuggingFaceH4/mistral-7b-cai tags: - alignment-handbook - generated_from_trainer datasets: - HuggingFaceH4/ultrafeedback_binarized_fixed - HuggingFaceH4/cai-conversation-harmless model-index: - name: mistral-7b-dpo-v21.0cai.0.2 results: []
Mistral 7B Constitutional AI
This model is a DPO-aligned version of Mistral 7B on the HuggingFaceH4/ultrafeedback_binarized_fixed and the HuggingFaceH4/cai-conversation-harmless datasets.
It achieves the following results on the evaluation set:
- Loss: 0.6327
- Rewards/chosen: -9.8716
- Rewards/rejected: -14.5465
- Rewards/accuracies: 0.6725
- Rewards/margins: 4.6749
- Logps/rejected: -329.8578
- Logps/chosen: -294.6768
- Logits/rejected: -2.1023
- Logits/chosen: -2.1648
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
---|---|---|---|---|---|---|---|---|---|---|---|
0.6817 | 0.02 | 100 | 0.6873 | 0.0149 | 0.0002 | 0.5150 | 0.0147 | -184.3912 | -195.8124 | -3.1605 | -3.1560 |
0.6767 | 0.05 | 200 | 0.6614 | 0.0825 | 0.0169 | 0.5575 | 0.0656 | -184.2246 | -195.1362 | -3.1654 | -3.1605 |
0.6328 | 0.07 | 300 | 0.6246 | -0.0374 | -0.2112 | 0.5875 | 0.1738 | -186.5047 | -196.3349 | -3.1579 | -3.1529 |
0.5919 | 0.1 | 400 | 0.5978 | 0.2812 | -0.0666 | 0.6125 | 0.3478 | -185.0590 | -193.1489 | -3.1292 | -3.1243 |
0.5545 | 0.12 | 500 | 0.5800 | 0.1742 | -0.2810 | 0.6275 | 0.4552 | -187.2035 | -194.2191 | -3.0819 | -3.0788 |
0.5926 | 0.14 | 600 | 0.5599 | 0.2410 | -0.3076 | 0.6425 | 0.5487 | -187.4693 | -193.5507 | -3.0601 | -3.0597 |
0.5326 | 0.17 | 700 | 0.5385 | -0.2501 | -0.9698 | 0.6400 | 0.7197 | -194.0914 | -198.4624 | -2.9076 | -2.9090 |
0.5126 | 0.19 | 800 | 0.5238 | -0.3616 | -1.1783 | 0.6525 | 0.8167 | -196.1764 | -199.5769 | -2.9965 | -2.9963 |
0.5283 | 0.22 | 900 | 0.5289 | -0.4142 | -1.2542 | 0.6775 | 0.8400 | -196.9348 | -200.1031 | -3.0133 | -3.0134 |
0.5303 | 0.24 | 1000 | 0.5214 | -0.5949 | -1.5888 | 0.6600 | 0.9939 | -200.2815 | -201.9101 | -2.9663 | -2.9669 |
0.5969 | 0.26 | 1100 | 0.5235 | -0.5924 | -1.5222 | 0.6600 | 0.9298 | -199.6154 | -201.8848 | -2.9402 | -2.9468 |
0.581 | 0.29 | 1200 | 0.5887 | -0.7548 | -1.7075 | 0.6400 | 0.9527 | -201.4678 | -203.5091 | -2.7065 | -2.7227 |
0.817 | 0.31 | 1300 | 0.6620 | -1.5060 | -2.4221 | 0.6500 | 0.9160 | -208.6137 | -211.0213 | -2.7717 | -2.7800 |
0.6039 | 0.34 | 1400 | 0.5321 | -1.6820 | -2.8439 | 0.6425 | 1.1619 | -212.8325 | -212.7814 | -2.6828 | -2.6917 |
0.6666 | 0.36 | 1500 | 0.5303 | -1.3875 | -2.6384 | 0.6475 | 1.2509 | -210.7773 | -209.8365 | -2.8557 | -2.8594 |
0.6907 | 0.39 | 1600 | 0.5409 | -2.0657 | -3.2214 | 0.6650 | 1.1556 | -216.6068 | -216.6184 | -2.8227 | -2.8288 |
0.5772 | 0.41 | 1700 | 0.5309 | -1.9849 | -3.2833 | 0.6875 | 1.2985 | -217.2264 | -215.8097 | -2.6498 | -2.6635 |
0.5601 | 0.43 | 1800 | 0.5281 | -1.7365 | -3.0643 | 0.6575 | 1.3278 | -215.0359 | -213.3255 | -2.8890 | -2.8918 |
0.576 | 0.46 | 1900 | 0.5266 | -1.4822 | -2.9294 | 0.6725 | 1.4472 | -213.6872 | -210.7831 | -2.7369 | -2.7427 |
1.2064 | 0.48 | 2000 | 0.5538 | -2.5493 | -3.7625 | 0.6675 | 1.2132 | -222.0182 | -221.4542 | -2.6773 | -2.6957 |
0.5751 | 0.51 | 2100 | 0.5465 | -1.9246 | -3.1480 | 0.6425 | 1.2234 | -215.8728 | -215.2067 | -2.6490 | -2.6657 |
0.4757 | 0.53 | 2200 | 0.5297 | -1.8443 | -3.1553 | 0.6325 | 1.3110 | -215.9462 | -214.4039 | -2.6882 | -2.7115 |
0.4771 | 0.55 | 2300 | 0.5386 | -2.3340 | -3.7443 | 0.6500 | 1.4103 | -221.8360 | -219.3013 | -2.6415 | -2.6623 |
0.481 | 0.58 | 2400 | 0.5355 | -1.6085 | -3.0800 | 0.6550 | 1.4715 | -215.1930 | -212.0460 | -2.6073 | -2.6293 |
0.523 | 0.6 | 2500 | 0.5131 | -2.6139 | -4.2353 | 0.6625 | 1.6214 | -226.7459 | -222.0998 | -2.6134 | -2.6394 |
0.6263 | 0.63 | 2600 | 0.5287 | -2.6614 | -4.0538 | 0.6450 | 1.3924 | -224.9310 | -222.5747 | -2.6189 | -2.6361 |
0.5973 | 0.65 | 2700 | 0.5132 | -2.7089 | -4.1248 | 0.625 | 1.4159 | -225.6406 | -223.0499 | -2.6167 | -2.6317 |
0.8209 | 0.67 | 2800 | 0.5165 | -2.7085 | -4.1871 | 0.625 | 1.4786 | -226.2637 | -223.0462 | -2.5605 | -2.5803 |
0.5625 | 0.7 | 2900 | 0.5117 | -3.4747 | -5.0369 | 0.6325 | 1.5622 | -234.7624 | -230.7079 | -2.5891 | -2.6163 |
0.5913 | 0.72 | 3000 | 0.5164 | -2.5844 | -4.3822 | 0.6675 | 1.7978 | -228.2149 | -221.8051 | -2.6421 | -2.6632 |
0.7441 | 0.75 | 3100 | 0.5175 | -2.4900 | -4.2883 | 0.6725 | 1.7983 | -227.2762 | -220.8608 | -2.6254 | -2.6465 |
0.6169 | 0.77 | 3200 | 0.5163 | -2.2489 | -3.8666 | 0.6600 | 1.6176 | -223.0589 | -218.4503 | -2.6517 | -2.6775 |
0.5347 | 0.79 | 3300 | 0.5222 | -2.6699 | -4.3844 | 0.6375 | 1.7145 | -228.2368 | -222.6600 | -2.6712 | -2.6909 |
0.5369 | 0.82 | 3400 | 0.5244 | -2.7710 | -4.6352 | 0.6600 | 1.8642 | -230.7449 | -223.6711 | -2.5304 | -2.5595 |
0.5613 | 0.84 | 3500 | 0.5431 | -3.7645 | -5.6773 | 0.6475 | 1.9128 | -241.1664 | -233.6063 | -2.5348 | -2.5604 |
0.6395 | 0.87 | 3600 | 0.5332 | -3.8666 | -5.6894 | 0.6525 | 1.8227 | -241.2867 | -234.6274 | -2.5479 | -2.5778 |
0.6552 | 0.89 | 3700 | 0.5149 | -2.9168 | -4.7306 | 0.6525 | 1.8138 | -231.6990 | -225.1294 | -2.4580 | -2.4901 |
0.6381 | 0.91 | 3800 | 0.5081 | -2.6182 | -4.3003 | 0.6625 | 1.6821 | -227.3964 | -222.1432 | -2.4730 | -2.4991 |
0.5355 | 0.94 | 3900 | 0.5100 | -2.5302 | -4.2476 | 0.6475 | 1.7173 | -226.8689 | -221.2634 | -2.5875 | -2.6065 |
0.5488 | 0.96 | 4000 | 0.5164 | -3.1540 | -4.8339 | 0.6550 | 1.6798 | -232.7318 | -227.5013 | -2.7017 | -2.7215 |
0.6802 | 0.99 | 4100 | 0.5134 | -2.6060 | -4.2916 | 0.6625 | 1.6856 | -227.3087 | -222.0207 | -2.6010 | -2.6250 |
0.0976 | 1.01 | 4200 | 0.5031 | -3.0885 | -5.0494 | 0.6625 | 1.9609 | -234.8874 | -226.8463 | -2.4721 | -2.5028 |
0.0839 | 1.03 | 4300 | 0.5027 | -3.3469 | -5.4366 | 0.6625 | 2.0897 | -238.7592 | -229.4302 | -2.3886 | -2.4238 |
0.0788 | 1.06 | 4400 | 0.5398 | -4.4307 | -6.8568 | 0.6775 | 2.4261 | -252.9614 | -240.2679 | -2.1805 | -2.2275 |
0.0701 | 1.08 | 4500 | 0.5432 | -4.3739 | -7.0979 | 0.6975 | 2.7240 | -255.3717 | -239.7001 | -2.1935 | -2.2437 |
0.0959 | 1.11 | 4600 | 0.5362 | -3.9784 | -6.3235 | 0.6900 | 2.3451 | -247.6284 | -235.7450 | -2.2860 | -2.3272 |
0.1177 | 1.13 | 4700 | 0.5411 | -4.1933 | -6.8436 | 0.6800 | 2.6504 | -252.8295 | -237.8937 | -2.3259 | -2.3682 |
0.1651 | 1.16 | 4800 | 0.5737 | -4.8158 | -6.7229 | 0.6700 | 1.9071 | -251.6221 | -244.1190 | -2.2753 | -2.3139 |
0.1298 | 1.18 | 4900 | 0.5528 | -4.6526 | -6.8433 | 0.6825 | 2.1907 | -252.8262 | -242.4874 | -2.4856 | -2.5188 |
0.1143 | 1.2 | 5000 | 0.5512 | -4.6212 | -7.0807 | 0.6800 | 2.4595 | -255.2000 | -242.1734 | -2.5190 | -2.5542 |
0.1145 | 1.23 | 5100 | 0.5496 | -4.0598 | -6.6147 | 0.6775 | 2.5548 | -250.5396 | -236.5594 | -2.5737 | -2.6008 |
0.2324 | 1.25 | 5200 | 0.5524 | -4.9650 | -7.6613 | 0.6725 | 2.6962 | -261.0058 | -245.6115 | -2.4382 | -2.4737 |
0.0867 | 1.28 | 5300 | 0.5449 | -4.9568 | -7.6771 | 0.6625 | 2.7203 | -261.1645 | -245.5292 | -2.4367 | -2.4702 |
0.0503 | 1.3 | 5400 | 0.5351 | -4.5684 | -7.1860 | 0.6625 | 2.6176 | -256.2527 | -241.6449 | -2.4235 | -2.4557 |
0.0977 | 1.32 | 5500 | 0.5431 | -4.5599 | -7.1317 | 0.6550 | 2.5718 | -255.7096 | -241.5597 | -2.5311 | -2.5614 |
0.1564 | 1.35 | 5600 | 0.5512 | -5.1430 | -8.0510 | 0.6750 | 2.9080 | -264.9027 | -247.3911 | -2.3498 | -2.3976 |
0.0967 | 1.37 | 5700 | 0.5520 | -4.5072 | -7.4506 | 0.6750 | 2.9433 | -258.8989 | -241.0335 | -2.2110 | -2.2631 |
0.2046 | 1.4 | 5800 | 0.5588 | -5.5328 | -8.5314 | 0.6800 | 2.9986 | -269.7068 | -251.2888 | -2.2155 | -2.2677 |
0.0985 | 1.42 | 5900 | 0.5429 | -5.1915 | -7.9421 | 0.6675 | 2.7505 | -263.8138 | -247.8765 | -2.2606 | -2.3077 |
0.1398 | 1.44 | 6000 | 0.5350 | -4.9761 | -7.9378 | 0.6800 | 2.9616 | -263.7706 | -245.7224 | -2.2291 | -2.2809 |
0.099 | 1.47 | 6100 | 0.5440 | -4.6202 | -7.4996 | 0.6650 | 2.8794 | -259.3892 | -242.1633 | -2.3362 | -2.3859 |
0.1279 | 1.49 | 6200 | 0.5389 | -4.9461 | -7.7908 | 0.6625 | 2.8448 | -262.3015 | -245.4217 | -2.2276 | -2.2734 |
0.0778 | 1.52 | 6300 | 0.5451 | -4.9550 | -7.8964 | 0.6625 | 2.9414 | -263.3570 | -245.5110 | -2.4781 | -2.5193 |
0.0911 | 1.54 | 6400 | 0.5412 | -5.4552 | -8.3139 | 0.6675 | 2.8588 | -267.5324 | -250.5128 | -2.3604 | -2.4048 |
0.2149 | 1.56 | 6500 | 0.5241 | -4.4512 | -7.3194 | 0.6725 | 2.8682 | -257.5873 | -240.4732 | -2.4011 | -2.4461 |
0.1739 | 1.59 | 6600 | 0.5329 | -5.0143 | -7.7507 | 0.6825 | 2.7364 | -261.8999 | -246.1036 | -2.4143 | -2.4577 |
0.0842 | 1.61 | 6700 | 0.5395 | -5.1195 | -8.0856 | 0.6800 | 2.9661 | -265.2489 | -247.1560 | -2.3877 | -2.4376 |
0.105 | 1.64 | 6800 | 0.5423 | -4.9379 | -7.7557 | 0.6775 | 2.8178 | -261.9503 | -245.3403 | -2.3798 | -2.4323 |
0.086 | 1.66 | 6900 | 0.5351 | -4.3598 | -7.1156 | 0.6775 | 2.7559 | -255.5494 | -239.5588 | -2.3870 | -2.4383 |
0.0622 | 1.68 | 7000 | 0.5394 | -4.6830 | -7.6578 | 0.6825 | 2.9747 | -260.9710 | -242.7915 | -2.4276 | -2.4779 |
0.0973 | 1.71 | 7100 | 0.5319 | -4.7475 | -7.6567 | 0.6750 | 2.9091 | -260.9596 | -243.4364 | -2.3010 | -2.3564 |
0.1052 | 1.73 | 7200 | 0.5284 | -4.5972 | -7.5385 | 0.6750 | 2.9413 | -259.7779 | -241.9329 | -2.3696 | -2.4201 |
0.0645 | 1.76 | 7300 | 0.5339 | -4.9822 | -8.0212 | 0.6775 | 3.0390 | -264.6048 | -245.7831 | -2.2857 | -2.3440 |
0.0923 | 1.78 | 7400 | 0.5385 | -4.6369 | -7.6632 | 0.6650 | 3.0263 | -261.0246 | -242.3295 | -2.2563 | -2.3150 |
0.0842 | 1.81 | 7500 | 0.5394 | -4.8705 | -7.6765 | 0.6600 | 2.8060 | -261.1580 | -244.6661 | -2.2808 | -2.3287 |
0.1178 | 1.83 | 7600 | 0.5253 | -4.7985 | -7.5635 | 0.6675 | 2.7650 | -260.0276 | -243.9457 | -2.4022 | -2.4463 |
0.1255 | 1.85 | 7700 | 0.5355 | -4.7007 | -7.4363 | 0.6675 | 2.7355 | -258.7556 | -242.9684 | -2.5073 | -2.5501 |
0.1541 | 1.88 | 7800 | 0.5440 | -4.9294 | -7.6465 | 0.6500 | 2.7172 | -260.8584 | -245.2547 | -2.3551 | -2.4036 |
0.0893 | 1.9 | 7900 | 0.5397 | -5.2135 | -8.3241 | 0.6575 | 3.1106 | -267.6339 | -248.0959 | -2.3214 | -2.3784 |
0.1203 | 1.93 | 8000 | 0.5296 | -4.8644 | -7.8598 | 0.6550 | 2.9954 | -262.9913 | -244.6054 | -2.4509 | -2.4969 |
0.1018 | 1.95 | 8100 | 0.5381 | -5.3471 | -8.4918 | 0.6625 | 3.1447 | -269.3113 | -249.4323 | -2.4193 | -2.4671 |
0.0767 | 1.97 | 8200 | 0.5386 | -5.2151 | -8.3734 | 0.6675 | 3.1582 | -268.1267 | -248.1124 | -2.4873 | -2.5329 |
0.0801 | 2.0 | 8300 | 0.5429 | -5.8103 | -9.0391 | 0.6575 | 3.2288 | -274.7842 | -254.0639 | -2.4348 | -2.4867 |
0.034 | 2.02 | 8400 | 0.5566 | -5.7907 | -9.2424 | 0.6625 | 3.4518 | -276.8175 | -253.8677 | -2.3679 | -2.4272 |
0.0246 | 2.05 | 8500 | 0.5758 | -5.6317 | -9.1533 | 0.6625 | 3.5216 | -275.9264 | -252.2783 | -2.3335 | -2.3958 |
0.0187 | 2.07 | 8600 | 0.5770 | -5.5795 | -9.2568 | 0.6725 | 3.6773 | -276.9613 | -251.7559 | -2.3614 | -2.4166 |
0.0606 | 2.09 | 8700 | 0.6115 | -7.1190 | -11.2853 | 0.6750 | 4.1663 | -297.2460 | -267.1512 | -2.2737 | -2.3365 |
0.0402 | 2.12 | 8800 | 0.6164 | -7.0531 | -11.1316 | 0.6600 | 4.0785 | -295.7089 | -266.4919 | -2.2005 | -2.2654 |
0.0263 | 2.14 | 8900 | 0.6209 | -8.1609 | -12.3710 | 0.6650 | 4.2102 | -308.1034 | -277.5696 | -2.0958 | -2.1661 |
0.0242 | 2.17 | 9000 | 0.6042 | -6.7201 | -10.7618 | 0.6725 | 4.0416 | -292.0106 | -263.1622 | -2.1651 | -2.2304 |
0.0383 | 2.19 | 9100 | 0.6080 | -7.7898 | -11.9356 | 0.6750 | 4.1458 | -303.7489 | -273.8587 | -2.1006 | -2.1662 |
0.0371 | 2.21 | 9200 | 0.6149 | -7.5635 | -11.7050 | 0.6675 | 4.1415 | -301.4433 | -271.5960 | -2.1556 | -2.2155 |
0.0279 | 2.24 | 9300 | 0.6155 | -8.1686 | -12.4447 | 0.6775 | 4.2760 | -308.8397 | -277.6473 | -2.1778 | -2.2399 |
0.021 | 2.26 | 9400 | 0.6137 | -7.8294 | -12.0416 | 0.6700 | 4.2122 | -304.8092 | -274.2550 | -2.2403 | -2.2958 |
0.0374 | 2.29 | 9500 | 0.6238 | -7.9227 | -12.2842 | 0.6750 | 4.3614 | -307.2347 | -275.1884 | -2.2926 | -2.3496 |
0.0412 | 2.31 | 9600 | 0.6126 | -7.7094 | -11.9775 | 0.6700 | 4.2681 | -304.1685 | -273.0553 | -2.2377 | -2.2961 |
0.0413 | 2.33 | 9700 | 0.6130 | -7.6030 | -11.8721 | 0.6675 | 4.2691 | -303.1140 | -271.9912 | -2.2505 | -2.3100 |
0.0361 | 2.36 | 9800 | 0.6248 | -8.1273 | -12.6010 | 0.6750 | 4.4737 | -310.4034 | -277.2341 | -2.2249 | -2.2866 |
0.0289 | 2.38 | 9900 | 0.6192 | -7.9924 | -12.3825 | 0.6675 | 4.3901 | -308.2185 | -275.8853 | -2.2473 | -2.3067 |
0.038 | 2.41 | 10000 | 0.6250 | -8.4114 | -12.8701 | 0.6675 | 4.4586 | -313.0937 | -280.0753 | -2.2312 | -2.2938 |
0.0334 | 2.43 | 10100 | 0.6261 | -9.1807 | -13.7488 | 0.6825 | 4.5681 | -321.8813 | -287.7679 | -2.2303 | -2.2947 |
0.0359 | 2.45 | 10200 | 0.6374 | -9.8214 | -14.2774 | 0.6650 | 4.4560 | -327.1667 | -294.1750 | -2.1817 | -2.2452 |
0.0266 | 2.48 | 10300 | 0.6298 | -8.3278 | -12.5691 | 0.6650 | 4.2413 | -310.0836 | -279.2391 | -2.2947 | -2.3521 |
0.0423 | 2.5 | 10400 | 0.6267 | -8.7527 | -13.2552 | 0.6675 | 4.5025 | -316.9453 | -283.4879 | -2.3034 | -2.3620 |
0.0329 | 2.53 | 10500 | 0.6386 | -8.9354 | -13.5549 | 0.6700 | 4.6195 | -319.9424 | -285.3152 | -2.2819 | -2.3423 |
0.039 | 2.55 | 10600 | 0.6330 | -8.3549 | -12.8863 | 0.6775 | 4.5314 | -313.2566 | -279.5103 | -2.2924 | -2.3528 |
0.0278 | 2.58 | 10700 | 0.6336 | -8.6754 | -13.1733 | 0.6675 | 4.4979 | -316.1258 | -282.7150 | -2.2319 | -2.2929 |
0.0606 | 2.6 | 10800 | 0.6299 | -8.7158 | -13.0817 | 0.6700 | 4.3658 | -315.2101 | -283.1195 | -2.2116 | -2.2731 |
0.0293 | 2.62 | 10900 | 0.6259 | -8.9092 | -13.2926 | 0.6725 | 4.3834 | -317.3194 | -285.0532 | -2.1572 | -2.2209 |
0.0196 | 2.65 | 11000 | 0.6219 | -9.1783 | -13.5617 | 0.6700 | 4.3835 | -320.0104 | -287.7436 | -2.1533 | -2.2163 |
0.0405 | 2.67 | 11100 | 0.6209 | -8.9912 | -13.3040 | 0.6700 | 4.3128 | -317.4330 | -285.8734 | -2.1378 | -2.2017 |
0.0278 | 2.7 | 11200 | 0.6300 | -9.8318 | -14.2684 | 0.6700 | 4.4366 | -327.0771 | -294.2787 | -2.1220 | -2.1862 |
0.0307 | 2.72 | 11300 | 0.6356 | -9.7027 | -14.1764 | 0.6700 | 4.4737 | -326.1576 | -292.9880 | -2.1316 | -2.1945 |
0.0242 | 2.74 | 11400 | 0.6327 | -9.8085 | -14.2574 | 0.6625 | 4.4489 | -326.9674 | -294.0465 | -2.1072 | -2.1680 |
0.0242 | 2.77 | 11500 | 0.6308 | -9.3697 | -13.8420 | 0.6650 | 4.4723 | -322.8135 | -289.6585 | -2.1273 | -2.1882 |
0.0337 | 2.79 | 11600 | 0.6350 | -9.2810 | -13.7917 | 0.6700 | 4.5107 | -322.3100 | -288.7711 | -2.1600 | -2.2215 |
0.0302 | 2.82 | 11700 | 0.6450 | -10.2754 | -14.9521 | 0.6675 | 4.6767 | -333.9139 | -298.7146 | -2.1339 | -2.1965 |
0.0354 | 2.84 | 11800 | 0.6451 | -10.3736 | -15.0743 | 0.6725 | 4.7008 | -335.1366 | -299.6965 | -2.1047 | -2.1674 |
0.0153 | 2.86 | 11900 | 0.6420 | -10.2126 | -14.9126 | 0.6700 | 4.7000 | -333.5196 | -298.0872 | -2.1102 | -2.1728 |
0.0388 | 2.89 | 12000 | 0.6407 | -10.2075 | -14.9081 | 0.6725 | 4.7006 | -333.4741 | -298.0356 | -2.1059 | -2.1687 |
0.0253 | 2.91 | 12100 | 0.6353 | -10.0842 | -14.7598 | 0.6650 | 4.6756 | -331.9908 | -296.8029 | -2.0968 | -2.1594 |
0.0317 | 2.94 | 12200 | 0.6352 | -9.9956 | -14.6819 | 0.6750 | 4.6863 | -331.2123 | -295.9169 | -2.1042 | -2.1665 |
0.0431 | 2.96 | 12300 | 0.6337 | -9.8807 | -14.5540 | 0.6675 | 4.6733 | -329.9332 | -294.7676 | -2.1034 | -2.1660 |
0.0233 | 2.98 | 12400 | 0.6326 | -9.8796 | -14.5449 | 0.6675 | 4.6653 | -329.8422 | -294.7567 | -2.1032 | -2.1657 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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