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long-t5-local-base-finetuned

This model is a fine-tuned version of google/long-t5-local-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 9.2722
  • Rouge1: 3.8848
  • Rouge2: 0.5914
  • Rougel: 3.5038
  • Rougelsum: 3.7022
  • Gen Len: 19.0

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: 1e-06
  • train_batch_size: 3
  • eval_batch_size: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50000

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 0.16 100 342.4395 0.0 0.0 0.0 0.0 19.0
No log 0.31 200 323.6985 0.0 0.0 0.0 0.0 19.0
No log 0.47 300 303.8767 0.0 0.0 0.0 0.0 19.0
No log 0.62 400 284.7559 0.0 0.0 0.0 0.0 19.0
295.8376 0.78 500 263.0420 0.0 0.0 0.0 0.0 19.0
295.8376 0.93 600 243.2220 0.0242 0.0 0.0223 0.0242 19.0
295.8376 1.09 700 224.4514 0.0493 0.0 0.0507 0.0513 19.0
295.8376 1.24 800 203.9065 0.0656 0.0 0.0634 0.0658 19.0
295.8376 1.4 900 184.8686 0.0609 0.0 0.058 0.0616 19.0
199.938 1.55 1000 167.5315 0.0638 0.0 0.0626 0.063 19.0
199.938 1.71 1100 151.2369 0.0421 0.0 0.0411 0.0413 19.0
199.938 1.86 1200 137.2366 0.0358 0.0 0.0346 0.0342 19.0
199.938 2.02 1300 125.3076 0.0173 0.0 0.0157 0.0157 19.0
199.938 2.17 1400 114.5600 0.0173 0.0 0.0157 0.0157 19.0
136.1309 2.33 1500 105.9237 0.0361 0.0 0.0344 0.0363 19.0
136.1309 2.48 1600 97.4123 0.0526 0.0 0.051 0.054 19.0
136.1309 2.64 1700 89.0873 0.0427 0.0 0.0407 0.0418 19.0
136.1309 2.79 1800 82.0562 0.0496 0.0 0.0462 0.0462 19.0
136.1309 2.95 1900 76.2360 0.0361 0.0 0.0345 0.0363 19.0
99.2229 3.1 2000 70.0604 0.0438 0.0 0.0425 0.0439 19.0
99.2229 3.26 2100 65.1038 0.0454 0.0 0.0441 0.0447 19.0
99.2229 3.41 2200 59.1831 0.0344 0.0 0.0318 0.0318 19.0
99.2229 3.57 2300 53.0313 0.0471 0.0 0.0448 0.0454 19.0
99.2229 3.72 2400 48.2110 0.0369 0.0 0.0369 0.0369 19.0
73.4208 3.88 2500 44.2004 0.0425 0.0 0.0427 0.044 19.0
73.4208 4.03 2600 40.1925 0.0632 0.0 0.0619 0.0612 19.0
73.4208 4.19 2700 36.3698 0.0887 0.0 0.0873 0.086 19.0
73.4208 4.34 2800 33.2154 0.164 0.0 0.1652 0.1705 19.0
73.4208 4.5 2900 30.9366 0.1106 0.0 0.1138 0.1144 19.0
55.6661 4.65 3000 28.5672 0.1289 0.0 0.1295 0.131 19.0
55.6661 4.81 3100 27.0910 0.2501 0.0 0.2514 0.2527 19.0
55.6661 4.96 3200 25.6666 0.318 0.0 0.3322 0.3203 19.0
55.6661 5.12 3300 24.6176 0.6319 0.0 0.6419 0.6299 19.0
55.6661 5.27 3400 23.6474 1.6632 0.0033 1.665 1.6244 19.0
45.1105 5.43 3500 22.7063 3.1374 0.0 3.1331 3.1333 19.0
45.1105 5.58 3600 21.9191 5.0757 0.0 5.0694 5.0456 19.0
45.1105 5.74 3700 21.3359 5.6576 0.0 5.689 5.6772 19.0
45.1105 5.89 3800 20.6990 5.828 0.0 5.8801 5.8688 19.0
45.1105 6.05 3900 20.1800 6.3727 0.0 6.3801 6.3716 19.0
39.6923 6.2 4000 19.7415 6.2209 0.0 6.2347 6.2368 19.0
39.6923 6.36 4100 19.2800 5.7215 0.0 5.7452 5.7295 19.0
39.6923 6.51 4200 18.9683 6.1018 0.0062 6.1 6.0935 19.0
39.6923 6.67 4300 18.5776 6.0354 0.0062 6.0227 6.0103 19.0
39.6923 6.82 4400 18.2629 5.4438 0.0062 5.441 5.4629 19.0
36.1688 6.98 4500 18.0268 5.3214 0.0091 5.3093 5.2992 19.0
36.1688 7.13 4600 17.7740 5.2223 0.0123 5.2132 5.2084 19.0
36.1688 7.29 4700 17.5345 5.178 0.0231 5.1615 5.1243 19.0
36.1688 7.44 4800 17.3846 5.3899 0.0277 5.3414 5.3534 19.0
36.1688 7.6 4900 17.1999 5.315 0.0272 5.2572 5.2477 19.0
33.5745 7.75 5000 17.0078 5.9014 0.028 5.8181 5.8058 19.0
33.5745 7.91 5100 16.6418 5.7546 0.0242 5.6903 5.6746 19.0
33.5745 8.06 5200 16.6330 6.6893 0.0182 6.6354 6.6178 19.0
33.5745 8.22 5300 16.3423 6.1679 0.0072 6.1518 6.128 19.0
33.5745 8.37 5400 16.2373 6.7659 0.0139 6.7271 6.7076 19.0
31.9486 8.53 5500 16.1523 7.1991 0.0139 7.1674 7.1283 19.0
31.9486 8.68 5600 16.0607 7.7042 0.0169 7.6741 7.6537 19.0
31.9486 8.84 5700 15.7647 7.1238 0.02 7.1113 7.0586 19.0
31.9486 8.99 5800 15.6194 7.3055 0.0116 7.3311 7.2683 19.0
31.9486 9.15 5900 15.4994 7.3365 0.0139 7.3026 7.2708 19.0
30.5224 9.3 6000 15.4207 8.1959 0.0116 8.1917 8.1651 19.0
30.5224 9.46 6100 15.2981 7.7936 0.0144 7.7826 7.7488 19.0
30.5224 9.61 6200 15.2391 7.95 0.0144 7.9371 7.895 19.0
30.5224 9.77 6300 15.0941 7.1669 0.0144 7.146 7.1251 19.0
30.5224 9.92 6400 14.9979 6.2157 0.0076 6.2086 6.1774 19.0
29.1236 10.08 6500 14.9523 7.4422 0.0137 7.3929 7.393 19.0
29.1236 10.23 6600 14.9515 7.2375 0.0137 7.1728 7.1779 19.0
29.1236 10.39 6700 14.8874 7.5071 0.0068 7.4544 7.4739 19.0
29.1236 10.54 6800 14.8057 5.9608 0.0169 5.8754 5.8691 19.0
29.1236 10.7 6900 14.6818 5.6345 0.021 5.5422 5.5331 19.0
28.314 10.85 7000 14.5409 5.5799 0.0169 5.4915 5.4833 19.0
28.314 11.01 7100 14.4512 4.3498 0.0368 4.2243 4.2193 19.0
28.314 11.16 7200 14.4560 4.0453 0.0372 3.9481 3.9228 19.0
28.314 11.32 7300 14.3851 5.1332 0.0426 5.0186 4.9882 19.0
28.314 11.47 7400 14.2265 4.8944 0.0371 4.7869 4.7765 19.0
27.5349 11.63 7500 14.1214 3.8846 0.0335 3.7882 3.7677 19.0
27.5349 11.78 7600 14.1505 3.9992 0.0514 3.883 3.8385 19.0
27.5349 11.94 7700 13.9923 3.4526 0.0664 3.325 3.3258 19.0
27.5349 12.09 7800 14.0299 2.3086 0.0346 2.25 2.219 19.0
27.5349 12.25 7900 13.9814 2.4402 0.0628 2.3282 2.3004 19.0
26.4286 12.4 8000 13.8561 2.9869 0.0654 2.8769 2.8485 19.0
26.4286 12.56 8100 13.8259 1.9609 0.0386 1.8863 1.8846 19.0
26.4286 12.71 8200 13.8127 2.0628 0.0355 1.9915 1.9738 19.0
26.4286 12.87 8300 13.7174 1.9904 0.081 1.888 1.9069 19.0
26.4286 13.02 8400 13.6308 2.1398 0.1055 2.0204 2.0468 19.0
26.108 13.18 8500 13.6490 1.8934 0.0788 1.7942 1.8188 19.0
26.108 13.33 8600 13.5996 1.8746 0.0901 1.7441 1.8006 19.0
26.108 13.49 8700 13.5394 1.7846 0.0895 1.6648 1.7331 19.0
26.108 13.64 8800 13.5368 2.1345 0.1287 1.9808 2.0814 19.0
26.108 13.8 8900 13.4793 2.5234 0.1611 2.3289 2.4292 19.0
25.4931 13.95 9000 13.3633 2.8056 0.1953 2.5619 2.7088 19.0
25.4931 14.11 9100 13.5182 3.087 0.2192 2.8182 2.9928 19.0
25.4931 14.26 9200 13.3372 2.6353 0.175 2.4145 2.589 19.0
25.4931 14.42 9300 13.2822 2.7577 0.1905 2.5277 2.7215 19.0
25.4931 14.57 9400 13.2011 3.1891 0.2381 2.9276 3.142 19.0
24.9241 14.73 9500 13.2201 2.609 0.1683 2.4162 2.5905 19.0
24.9241 14.88 9600 13.2206 3.1083 0.2241 2.8627 3.0606 19.0
24.9241 15.04 9700 13.2157 3.6233 0.2731 3.338 3.5642 19.0
24.9241 15.19 9800 13.1195 3.1785 0.2318 2.9449 3.1306 19.0
24.9241 15.35 9900 13.0481 3.0249 0.2192 2.7991 2.9925 19.0
24.4511 15.5 10000 13.0693 3.1189 0.2287 2.8726 3.0669 19.0
24.4511 15.66 10100 12.9204 2.6405 0.1899 2.4337 2.61 19.0
24.4511 15.81 10200 12.9200 2.9037 0.2148 2.6775 2.8683 19.0
24.4511 15.97 10300 12.9203 2.8847 0.2034 2.6586 2.8438 19.0
24.4511 16.12 10400 12.8723 2.8195 0.1976 2.5922 2.7803 19.0
23.8949 16.28 10500 12.9749 3.2658 0.2217 2.9905 3.2262 19.0
23.8949 16.43 10600 12.7975 2.9762 0.1844 2.7295 2.9474 19.0
23.8949 16.59 10700 12.7497 2.5496 0.1406 2.3536 2.5269 19.0
23.8949 16.74 10800 12.6485 2.5509 0.1454 2.343 2.5182 19.0
23.8949 16.9 10900 12.6574 2.1914 0.1281 2.0113 2.1574 19.0
23.4963 17.05 11000 12.6919 2.1748 0.1299 1.9909 2.1229 19.0
23.4963 17.21 11100 12.5660 2.3751 0.1177 2.1417 2.326 19.0
23.4963 17.36 11200 12.5866 2.6893 0.1344 2.4378 2.6318 19.0
23.4963 17.52 11300 12.5427 2.5546 0.1411 2.3175 2.5073 19.0
23.4963 17.67 11400 12.5011 2.347 0.1223 2.1322 2.3077 19.0
23.1492 17.83 11500 12.5168 2.2304 0.1141 2.0657 2.1951 19.0
23.1492 17.98 11600 12.4043 2.4485 0.1209 2.2548 2.4114 19.0
23.1492 18.14 11700 12.4192 2.0551 0.0887 1.8996 2.0199 19.0
23.1492 18.29 11800 12.3799 2.1076 0.0932 1.9464 2.0589 19.0
23.1492 18.45 11900 12.4263 2.4136 0.1152 2.2172 2.357 19.0
22.7005 18.6 12000 12.3218 2.1197 0.1105 1.9997 2.0873 19.0
22.7005 18.76 12100 12.3297 2.1883 0.1102 2.0414 2.1267 19.0
22.7005 18.91 12200 12.3026 1.966 0.0954 1.8387 1.9469 19.0
22.7005 19.07 12300 12.3030 2.0179 0.0955 1.8834 1.9858 19.0
22.7005 19.22 12400 12.2478 1.9549 0.0948 1.8437 1.9092 19.0
22.3178 19.38 12500 12.1803 1.6396 0.0648 1.5296 1.6208 19.0
22.3178 19.53 12600 12.1732 1.5568 0.0769 1.4894 1.5387 19.0
22.3178 19.69 12700 12.1342 1.6861 0.0782 1.6105 1.666 19.0
22.3178 19.84 12800 12.1313 2.023 0.0965 1.9295 2.0072 19.0
22.3178 20.0 12900 12.1315 1.5878 0.0701 1.5153 1.5467 19.0
21.8344 20.16 13000 12.0611 1.6406 0.0637 1.5665 1.6033 19.0
21.8344 20.31 13100 12.0327 1.5913 0.0544 1.5209 1.552 19.0
21.8344 20.47 13200 12.0466 1.3618 0.0494 1.3186 1.33 19.0
21.8344 20.62 13300 12.0787 1.4445 0.0451 1.4073 1.41 19.0
21.8344 20.78 13400 11.9829 1.3465 0.0494 1.3247 1.3167 19.0
21.6309 20.93 13500 11.9072 1.4165 0.0519 1.3761 1.3839 19.0
21.6309 21.09 13600 11.9261 1.3969 0.0502 1.3606 1.3618 19.0
21.6309 21.24 13700 11.8313 1.3337 0.0337 1.2974 1.316 19.0
21.6309 21.4 13800 11.7709 1.3045 0.0371 1.2746 1.2889 19.0
21.6309 21.55 13900 11.8402 1.6106 0.0391 1.5678 1.5697 19.0
21.2262 21.71 14000 11.7132 1.3261 0.0222 1.296 1.3051 19.0
21.2262 21.86 14100 11.7206 1.41 0.0252 1.374 1.3985 19.0
21.2262 22.02 14200 11.7033 1.6231 0.0478 1.5632 1.5851 19.0
21.2262 22.17 14300 11.7385 1.8974 0.0618 1.8339 1.8583 19.0
21.2262 22.33 14400 11.6519 1.8998 0.0541 1.8285 1.8552 19.0
20.8055 22.48 14500 11.6039 1.9561 0.0582 1.859 1.9073 19.0
20.8055 22.64 14600 11.6322 1.7731 0.0442 1.7061 1.7303 19.0
20.8055 22.79 14700 11.6046 1.8874 0.0618 1.8083 1.8539 19.0
20.8055 22.95 14800 11.5051 1.4271 0.016 1.3996 1.4086 19.0
20.8055 23.1 14900 11.5564 1.743 0.0451 1.6787 1.727 19.0
20.6263 23.26 15000 11.5024 1.9313 0.0575 1.8357 1.887 19.0
20.6263 23.41 15100 11.5281 2.082 0.0435 1.9865 2.0327 19.0
20.6263 23.57 15200 11.4223 1.9773 0.0332 1.9038 1.9432 19.0
20.6263 23.72 15300 11.4675 1.7845 0.0831 1.6835 1.7414 19.0
20.6263 23.88 15400 11.3882 2.1183 0.0715 1.9965 2.0725 19.0
20.3154 24.03 15500 11.4197 2.4045 0.1336 2.2302 2.3024 19.0
20.3154 24.19 15600 11.3558 1.9596 0.1196 1.8152 1.8748 19.0
20.3154 24.34 15700 11.3438 2.0931 0.111 1.9469 1.999 19.0
20.3154 24.5 15800 11.3021 2.2159 0.1257 2.0511 2.1345 19.0
20.3154 24.65 15900 11.3178 2.093 0.132 1.9083 1.9969 19.0
20.0858 24.81 16000 11.2377 1.6589 0.1129 1.5625 1.6245 19.0
20.0858 24.96 16100 11.2058 1.6667 0.0854 1.5597 1.6223 19.0
20.0858 25.12 16200 11.1602 2.0907 0.1219 1.9297 1.9988 19.0
20.0858 25.27 16300 11.1666 1.86 0.1092 1.7398 1.7993 19.0
20.0858 25.43 16400 11.1807 1.8879 0.1818 1.7579 1.8335 19.0
19.7588 25.58 16500 11.1310 2.0377 0.1612 1.8653 1.9538 19.0
19.7588 25.74 16600 11.1577 2.1441 0.1767 1.9546 2.0518 19.0
19.7588 25.89 16700 11.0748 1.8679 0.1892 1.7249 1.7822 19.0
19.7588 26.05 16800 11.1048 2.2775 0.2072 2.0566 2.1521 19.0
19.7588 26.2 16900 11.0498 1.8117 0.161 1.6879 1.7357 19.0
19.4627 26.36 17000 11.0435 1.7875 0.1627 1.6626 1.7306 19.0
19.4627 26.51 17100 10.9406 1.7333 0.1645 1.6051 1.6671 19.0
19.4627 26.67 17200 10.9242 1.596 0.1426 1.4747 1.5341 19.0
19.4627 26.82 17300 10.9571 1.9874 0.2109 1.8109 1.9061 19.0
19.4627 26.98 17400 10.9265 1.6999 0.1353 1.5574 1.6402 19.0
19.2619 27.13 17500 10.8919 1.7543 0.1709 1.587 1.6605 19.0
19.2619 27.29 17600 10.8382 2.126 0.2056 1.8609 2.0021 19.0
19.2619 27.44 17700 10.8936 1.9626 0.1726 1.7402 1.8665 19.0
19.2619 27.6 17800 10.8565 1.7668 0.1673 1.5914 1.7099 19.0
19.2619 27.75 17900 10.9047 2.0972 0.1867 1.8519 2.0224 19.0
19.0457 27.91 18000 10.7900 2.7761 0.2904 2.4403 2.6936 19.0
19.0457 28.06 18100 10.7191 2.3652 0.2431 2.0989 2.2767 19.0
19.0457 28.22 18200 10.7462 3.3125 0.361 2.847 3.1506 19.0
19.0457 28.37 18300 10.7721 2.9247 0.3 2.5443 2.806 19.0
19.0457 28.53 18400 10.7208 2.5398 0.2812 2.2211 2.4312 19.0
18.8301 28.68 18500 10.6708 2.5902 0.281 2.2765 2.4881 19.0
18.8301 28.84 18600 10.7220 2.276 0.2061 1.9904 2.1922 19.0
18.8301 28.99 18700 10.6855 2.8678 0.3496 2.52 2.751 19.0
18.8301 29.15 18800 10.6550 2.5232 0.2724 2.2108 2.4314 19.0
18.8301 29.3 18900 10.6488 2.5629 0.2203 2.2361 2.4261 19.0
18.5872 29.46 19000 10.6123 2.5052 0.1923 2.1381 2.3821 19.0
18.5872 29.61 19100 10.6105 3.7779 0.3653 3.2404 3.5759 19.0
18.5872 29.77 19200 10.5823 3.8282 0.3743 3.2645 3.6077 19.0
18.5872 29.92 19300 10.5606 3.0976 0.277 2.6041 2.8838 19.0
18.5872 30.08 19400 10.5846 3.638 0.3482 3.0804 3.4294 19.0
18.2839 30.23 19500 10.4722 2.6173 0.2326 2.2268 2.4656 19.0
18.2839 30.39 19600 10.5211 3.5085 0.3377 2.9751 3.2889 19.0
18.2839 30.54 19700 10.4735 2.4781 0.2097 2.1099 2.3338 19.0
18.2839 30.7 19800 10.4545 3.1459 0.3022 2.6844 2.9559 19.0
18.2839 30.85 19900 10.4525 3.6095 0.3637 3.0873 3.3886 19.0
18.1352 31.01 20000 10.4409 4.0556 0.4621 3.3857 3.7778 19.0
18.1352 31.16 20100 10.4132 3.8346 0.3863 3.2323 3.6266 19.0
18.1352 31.32 20200 10.4468 2.3736 0.1977 2.0195 2.236 19.0
18.1352 31.47 20300 10.3896 3.6954 0.3512 3.1402 3.4667 19.0
18.1352 31.63 20400 10.3546 3.5158 0.3558 3.0575 3.3116 19.0
17.9834 31.78 20500 10.3632 3.179 0.3374 2.7634 2.9846 19.0
17.9834 31.94 20600 10.3168 3.9121 0.4012 3.3812 3.687 19.0
17.9834 32.09 20700 10.2772 3.6148 0.3667 3.1059 3.3541 19.0
17.9834 32.25 20800 10.3173 3.1448 0.2924 2.6948 2.9338 19.0
17.9834 32.4 20900 10.2154 2.4611 0.1922 2.1597 2.3288 19.0
17.6192 32.56 21000 10.2957 3.3177 0.3762 2.8085 3.0595 19.0
17.6192 32.71 21100 10.2064 3.4663 0.3819 3.0229 3.2201 19.0
17.6192 32.87 21200 10.2235 3.245 0.3179 2.7618 3.0066 19.0
17.6192 33.02 21300 10.2193 2.5572 0.2775 2.216 2.3892 19.0
17.6192 33.18 21400 10.2467 3.4873 0.3934 3.02 3.2701 19.0
17.5532 33.33 21500 10.2378 2.8087 0.3049 2.4001 2.6218 19.0
17.5532 33.49 21600 10.2086 3.8967 0.4801 3.3678 3.603 19.0
17.5532 33.64 21700 10.2384 2.6534 0.3239 2.3276 2.4692 19.0
17.5532 33.8 21800 10.1929 2.6025 0.2845 2.2653 2.4507 19.0
17.5532 33.95 21900 10.1016 3.3244 0.377 2.8311 3.0784 19.0
17.3872 34.11 22000 10.1407 3.4245 0.4024 3.044 3.1865 19.0
17.3872 34.26 22100 10.0760 3.9251 0.4272 3.4064 3.6497 19.0
17.3872 34.42 22200 10.0998 3.3034 0.3438 2.8977 3.1141 19.0
17.3872 34.57 22300 10.0834 2.4967 0.266 2.2301 2.3647 19.0
17.3872 34.73 22400 9.9902 4.0828 0.4867 3.5482 3.7861 19.0
17.1744 34.88 22500 10.0366 3.5772 0.4377 3.1153 3.3199 19.0
17.1744 35.04 22600 10.0299 3.5342 0.433 3.0501 3.2176 19.0
17.1744 35.19 22700 9.9912 3.7754 0.4445 3.3191 3.502 19.0
17.1744 35.35 22800 9.9580 4.5086 0.5514 3.8986 4.1987 19.0
17.1744 35.5 22900 9.9676 3.526 0.3942 3.0859 3.3082 19.0
17.0687 35.66 23000 9.9874 3.7058 0.5139 3.2353 3.4611 19.0
17.0687 35.81 23100 9.9536 3.6588 0.4552 3.1591 3.3554 19.0
17.0687 35.97 23200 9.8948 3.6279 0.3933 3.1403 3.3426 19.0
17.0687 36.12 23300 9.8397 3.8101 0.4971 3.3152 3.5133 19.0
17.0687 36.28 23400 9.8995 3.3201 0.4209 2.9101 3.0903 19.0
16.7686 36.43 23500 9.9085 4.0108 0.6389 3.5055 3.7286 19.0
16.7686 36.59 23600 9.8688 3.6051 0.5164 3.1651 3.3781 19.0
16.7686 36.74 23700 9.8673 4.4987 0.6051 3.8789 4.1868 19.0
16.7686 36.9 23800 9.8848 3.6926 0.5635 3.1681 3.3902 19.0
16.7686 37.05 23900 9.8497 3.518 0.4283 3.1159 3.3112 19.0
16.7432 37.21 24000 9.8044 3.3369 0.3772 2.9784 3.147 19.0
16.7432 37.36 24100 9.7768 3.5862 0.3819 3.1273 3.3535 19.0
16.7432 37.52 24200 9.7536 4.1823 0.5884 3.645 3.8843 19.0
16.7432 37.67 24300 9.7953 4.3981 0.6441 3.7941 4.0623 19.0
16.7432 37.83 24400 9.6742 3.7833 0.4755 3.3516 3.5543 19.0
16.5714 37.98 24500 9.7946 3.3839 0.495 3.0021 3.156 19.0
16.5714 38.14 24600 9.7544 4.3873 0.6486 3.8188 4.0653 19.0
16.5714 38.29 24700 9.7586 3.4403 0.4756 3.0402 3.2405 19.0
16.5714 38.45 24800 9.7895 3.6822 0.6247 3.2612 3.4746 19.0
16.5714 38.6 24900 9.6964 3.8743 0.6209 3.4159 3.6051 19.0
16.3393 38.76 25000 9.7190 4.1508 0.635 3.5925 3.8753 19.0
16.3393 38.91 25100 9.6435 3.6755 0.4777 3.268 3.4572 19.0
16.3393 39.07 25200 9.6390 2.9478 0.4049 2.6531 2.7782 19.0
16.3393 39.22 25300 9.6300 2.9973 0.3897 2.6662 2.7943 19.0
16.3393 39.38 25400 9.6229 3.6726 0.4182 3.2207 3.4595 19.0
16.3076 39.53 25500 9.6392 2.9691 0.3692 2.6709 2.8182 19.0
16.3076 39.69 25600 9.5978 2.8167 0.3437 2.593 2.7155 19.0
16.3076 39.84 25700 9.6111 3.5135 0.5453 3.1415 3.3042 19.0
16.3076 40.0 25800 9.6118 3.459 0.4963 3.1351 3.2809 19.0
16.3076 40.16 25900 9.5994 3.5735 0.539 3.2556 3.3904 19.0
16.0684 40.31 26000 9.5526 3.3388 0.4689 2.9753 3.1562 19.0
16.0684 40.47 26100 9.5365 3.0882 0.392 2.8072 2.9556 19.0
16.0684 40.62 26200 9.5571 3.0022 0.4109 2.7108 2.8575 19.0
16.0684 40.78 26300 9.5240 3.506 0.5734 3.1577 3.3378 19.0
16.0684 40.93 26400 9.4913 3.5936 0.5165 3.2452 3.4134 19.0
15.9425 41.09 26500 9.5297 3.7802 0.6862 3.4061 3.5436 19.0
15.9425 41.24 26600 9.4657 3.8433 0.6105 3.4621 3.638 19.0
15.9425 41.4 26700 9.5049 3.5822 0.6462 3.231 3.3745 19.0
15.9425 41.55 26800 9.4739 2.9668 0.4426 2.7345 2.8134 19.0
15.9425 41.71 26900 9.4868 3.7458 0.6934 3.3708 3.5492 19.0
15.7779 41.86 27000 9.4683 3.5254 0.6006 3.1629 3.3011 19.0
15.7779 42.02 27100 9.4108 4.2731 0.7412 3.8236 4.0171 19.0
15.7779 42.17 27200 9.3994 3.5014 0.5738 3.1525 3.3306 19.0
15.7779 42.33 27300 9.3760 3.4929 0.4954 3.1402 3.3028 19.0
15.7779 42.48 27400 9.4201 4.2777 0.7152 3.7943 4.0349 19.0
15.7238 42.64 27500 9.3913 3.6489 0.6371 3.2903 3.4528 19.0
15.7238 42.79 27600 9.4269 3.5269 0.6042 3.2049 3.3528 19.0
15.7238 42.95 27700 9.3847 3.4735 0.5963 3.1522 3.2796 19.0
15.7238 43.1 27800 9.3474 3.8327 0.6428 3.406 3.5698 19.0
15.7238 43.26 27900 9.3293 3.5475 0.6313 3.1725 3.3367 19.0
15.5108 43.41 28000 9.3802 4.249 0.7997 3.7924 3.9849 19.0
15.5108 43.57 28100 9.2588 3.4476 0.4676 3.1758 3.2993 19.0
15.5108 43.72 28200 9.3447 4.0267 0.7081 3.6208 3.7957 19.0
15.5108 43.88 28300 9.2853 4.0105 0.7799 3.5848 3.7619 19.0
15.5108 44.03 28400 9.2753 3.1833 0.4678 2.9068 3.0168 19.0
15.4004 44.19 28500 9.2345 3.6778 0.5955 3.3212 3.4724 19.0
15.4004 44.34 28600 9.3130 3.9958 0.6892 3.5871 3.772 19.0
15.4004 44.5 28700 9.2984 4.1868 0.696 3.7194 3.9197 19.0
15.4004 44.65 28800 9.2722 3.8848 0.5914 3.5038 3.7022 19.0

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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