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clinico-finetuned-augmented1

joheras / clinico-finetuned-augmented1

Run on huggingface.co
huggingface.co
Total runs: 5
24-hour runs: -1
7-day runs: -3
30-day runs: 1
Model's Last Updated: March 17 2023
token-classification

Introduction of clinico-finetuned-augmented1

Model Details of clinico-finetuned-augmented1

clinico-finetuned-augmented1

This model is a fine-tuned version of joheras/distilbert-base-spanish-uncased-finetuned-clinais on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2935
  • Precision: 0.3471
  • Recall: 0.55
  • F1: 0.4256
  • Accuracy: 0.8319
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: 2e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 300
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 23 1.3471 0.0013 0.0022 0.0016 0.5548
No log 2.0 46 1.0386 0.0120 0.0344 0.0179 0.6527
No log 3.0 69 0.9088 0.0410 0.0933 0.0569 0.7125
No log 4.0 92 0.8189 0.0604 0.1356 0.0835 0.7446
No log 5.0 115 0.7484 0.0943 0.1844 0.1248 0.7704
No log 6.0 138 0.7094 0.1132 0.2178 0.1489 0.7772
No log 7.0 161 0.7022 0.1169 0.2211 0.1530 0.7800
No log 8.0 184 0.6776 0.1575 0.2878 0.2036 0.7944
No log 9.0 207 0.6983 0.1493 0.2911 0.1974 0.7964
No log 10.0 230 0.6821 0.1772 0.33 0.2306 0.8021
No log 11.0 253 0.6845 0.1861 0.3511 0.2433 0.8053
No log 12.0 276 0.6874 0.2020 0.3756 0.2627 0.8106
No log 13.0 299 0.6973 0.2098 0.3967 0.2744 0.8102
No log 14.0 322 0.7230 0.2140 0.41 0.2812 0.8140
No log 15.0 345 0.7448 0.2243 0.4244 0.2935 0.8100
No log 16.0 368 0.7519 0.2378 0.4278 0.3057 0.8111
No log 17.0 391 0.7503 0.2326 0.4378 0.3038 0.8119
No log 18.0 414 0.7573 0.2494 0.4456 0.3198 0.8139
No log 19.0 437 0.7970 0.2435 0.4544 0.3171 0.8137
No log 20.0 460 0.7990 0.2523 0.4511 0.3236 0.8170
No log 21.0 483 0.8115 0.2484 0.4633 0.3234 0.8139
0.4675 22.0 506 0.8135 0.2572 0.4667 0.3316 0.8157
0.4675 23.0 529 0.8509 0.2644 0.4656 0.3372 0.8108
0.4675 24.0 552 0.8450 0.2600 0.4789 0.3370 0.8143
0.4675 25.0 575 0.8667 0.2777 0.4811 0.3522 0.8220
0.4675 26.0 598 0.8639 0.2634 0.4767 0.3393 0.8152
0.4675 27.0 621 0.8903 0.2790 0.4811 0.3532 0.8154
0.4675 28.0 644 0.8697 0.2885 0.4978 0.3653 0.8212
0.4675 29.0 667 0.8856 0.2851 0.4856 0.3592 0.8197
0.4675 30.0 690 0.9332 0.2670 0.4933 0.3465 0.8141
0.4675 31.0 713 0.9064 0.2929 0.5078 0.3715 0.8201
0.4675 32.0 736 0.9256 0.2915 0.5089 0.3707 0.8222
0.4675 33.0 759 0.9447 0.2959 0.51 0.3745 0.8175
0.4675 34.0 782 0.9387 0.2998 0.5133 0.3785 0.8199
0.4675 35.0 805 0.9545 0.3124 0.52 0.3903 0.8225
0.4675 36.0 828 0.9785 0.2962 0.5056 0.3736 0.8179
0.4675 37.0 851 0.9635 0.3004 0.5133 0.3790 0.8201
0.4675 38.0 874 0.9749 0.2810 0.5011 0.3601 0.8229
0.4675 39.0 897 0.9753 0.3018 0.5289 0.3843 0.8201
0.4675 40.0 920 0.9735 0.3001 0.5122 0.3785 0.8221
0.4675 41.0 943 1.0196 0.3033 0.5078 0.3797 0.8179
0.4675 42.0 966 0.9775 0.3037 0.5267 0.3852 0.8254
0.4675 43.0 989 1.0051 0.3028 0.5133 0.3809 0.8221
0.0384 44.0 1012 1.0053 0.3067 0.5256 0.3874 0.8250
0.0384 45.0 1035 1.0145 0.3090 0.5356 0.3919 0.8225
0.0384 46.0 1058 1.0299 0.3081 0.5244 0.3882 0.8212
0.0384 47.0 1081 1.0265 0.3231 0.5256 0.4002 0.8239
0.0384 48.0 1104 1.0151 0.3154 0.5278 0.3948 0.8248
0.0384 49.0 1127 1.0384 0.3229 0.5378 0.4035 0.8234
0.0384 50.0 1150 1.0641 0.3159 0.5311 0.3962 0.8207
0.0384 51.0 1173 1.0592 0.3123 0.5233 0.3912 0.8218
0.0384 52.0 1196 1.0314 0.3131 0.5378 0.3957 0.8238
0.0384 53.0 1219 1.0466 0.3169 0.5344 0.3978 0.8235
0.0384 54.0 1242 1.0402 0.3005 0.5156 0.3797 0.8229
0.0384 55.0 1265 1.0384 0.3149 0.5311 0.3954 0.8239
0.0384 56.0 1288 1.0401 0.3282 0.5456 0.4098 0.8234
0.0384 57.0 1311 1.0584 0.3221 0.5322 0.4013 0.8232
0.0384 58.0 1334 1.0665 0.3308 0.5411 0.4106 0.8256
0.0384 59.0 1357 1.0774 0.3201 0.5267 0.3982 0.8228
0.0384 60.0 1380 1.0800 0.3144 0.5344 0.3959 0.8201
0.0384 61.0 1403 1.1017 0.3071 0.52 0.3861 0.8197
0.0384 62.0 1426 1.1059 0.3218 0.5289 0.4002 0.8192
0.0384 63.0 1449 1.0926 0.3199 0.5367 0.4008 0.8216
0.0384 64.0 1472 1.0825 0.3135 0.5267 0.3930 0.8262
0.0384 65.0 1495 1.1075 0.3190 0.5344 0.3995 0.8213
0.0109 66.0 1518 1.1220 0.3174 0.5233 0.3951 0.8201
0.0109 67.0 1541 1.1047 0.3233 0.5367 0.4035 0.8221
0.0109 68.0 1564 1.1506 0.3203 0.5367 0.4012 0.8226
0.0109 69.0 1587 1.1263 0.3188 0.5289 0.3978 0.8229
0.0109 70.0 1610 1.1126 0.3150 0.5344 0.3964 0.8217
0.0109 71.0 1633 1.1014 0.3210 0.5389 0.4023 0.8239
0.0109 72.0 1656 1.1620 0.3213 0.5444 0.4041 0.8206
0.0109 73.0 1679 1.1406 0.3400 0.55 0.4202 0.8229
0.0109 74.0 1702 1.1173 0.3276 0.5467 0.4097 0.8224
0.0109 75.0 1725 1.1185 0.3274 0.5533 0.4114 0.8256
0.0109 76.0 1748 1.1058 0.3215 0.5422 0.4036 0.8235
0.0109 77.0 1771 1.1212 0.3250 0.5356 0.4045 0.8269
0.0109 78.0 1794 1.1542 0.3185 0.5267 0.3970 0.8237
0.0109 79.0 1817 1.1348 0.3299 0.54 0.4096 0.8237
0.0109 80.0 1840 1.1355 0.3282 0.5411 0.4086 0.8244
0.0109 81.0 1863 1.1255 0.3172 0.5456 0.4011 0.8238
0.0109 82.0 1886 1.1328 0.3322 0.5467 0.4133 0.8232
0.0109 83.0 1909 1.1444 0.3359 0.54 0.4141 0.8232
0.0109 84.0 1932 1.1474 0.3395 0.5467 0.4189 0.8231
0.0109 85.0 1955 1.1526 0.3336 0.5411 0.4127 0.8225
0.0109 86.0 1978 1.1408 0.3327 0.5411 0.4120 0.8262
0.0055 87.0 2001 1.1414 0.3269 0.5433 0.4082 0.8232
0.0055 88.0 2024 1.1626 0.3354 0.54 0.4138 0.8230
0.0055 89.0 2047 1.1622 0.3394 0.5378 0.4162 0.8251
0.0055 90.0 2070 1.1423 0.3251 0.5244 0.4014 0.8264
0.0055 91.0 2093 1.1629 0.3290 0.5322 0.4066 0.8252
0.0055 92.0 2116 1.1478 0.3372 0.5544 0.4193 0.8238
0.0055 93.0 2139 1.1847 0.3280 0.5267 0.4043 0.8252
0.0055 94.0 2162 1.1801 0.3447 0.5411 0.4211 0.8204
0.0055 95.0 2185 1.1526 0.3297 0.5378 0.4088 0.8258
0.0055 96.0 2208 1.1786 0.3475 0.5433 0.4239 0.8230
0.0055 97.0 2231 1.1672 0.3347 0.5411 0.4136 0.8247
0.0055 98.0 2254 1.2031 0.3230 0.5422 0.4048 0.8214
0.0055 99.0 2277 1.1589 0.3347 0.5478 0.4155 0.8280
0.0055 100.0 2300 1.2049 0.3276 0.5533 0.4116 0.8214
0.0055 101.0 2323 1.1695 0.3304 0.5422 0.4106 0.8248
0.0055 102.0 2346 1.1933 0.3406 0.5522 0.4214 0.8218
0.0055 103.0 2369 1.1821 0.3351 0.5544 0.4177 0.8231
0.0055 104.0 2392 1.2068 0.3369 0.5311 0.4122 0.8207
0.0055 105.0 2415 1.1866 0.3384 0.5478 0.4183 0.8214
0.0055 106.0 2438 1.1917 0.3347 0.5544 0.4174 0.8243
0.0055 107.0 2461 1.2080 0.3304 0.5456 0.4116 0.8232
0.0055 108.0 2484 1.1625 0.3351 0.5544 0.4177 0.8258
0.0034 109.0 2507 1.2035 0.3251 0.5378 0.4052 0.8238
0.0034 110.0 2530 1.1610 0.3340 0.5456 0.4143 0.8276
0.0034 111.0 2553 1.1941 0.3522 0.5533 0.4304 0.8267
0.0034 112.0 2576 1.1784 0.3424 0.5467 0.4211 0.8284
0.0034 113.0 2599 1.1831 0.3351 0.5478 0.4159 0.8301
0.0034 114.0 2622 1.1999 0.3368 0.5467 0.4168 0.8265
0.0034 115.0 2645 1.1896 0.3407 0.5467 0.4198 0.8277
0.0034 116.0 2668 1.1865 0.3451 0.5433 0.4221 0.8291
0.0034 117.0 2691 1.2529 0.3498 0.55 0.4276 0.8228
0.0034 118.0 2714 1.2159 0.3356 0.5478 0.4162 0.8267
0.0034 119.0 2737 1.1932 0.3401 0.5556 0.4219 0.8283
0.0034 120.0 2760 1.1842 0.3419 0.5467 0.4207 0.8287
0.0034 121.0 2783 1.2179 0.3407 0.5456 0.4195 0.8270
0.0034 122.0 2806 1.2617 0.3322 0.5489 0.4139 0.8233
0.0034 123.0 2829 1.1982 0.3356 0.5544 0.4181 0.8237
0.0034 124.0 2852 1.1664 0.3379 0.5533 0.4195 0.8297
0.0034 125.0 2875 1.1780 0.3599 0.5578 0.4375 0.8299
0.0034 126.0 2898 1.2004 0.3515 0.5578 0.4313 0.8310
0.0034 127.0 2921 1.1824 0.3405 0.5478 0.4199 0.8325
0.0034 128.0 2944 1.1934 0.3390 0.5533 0.4204 0.8277
0.0034 129.0 2967 1.1975 0.3409 0.5511 0.4212 0.8288
0.0034 130.0 2990 1.1867 0.3313 0.5567 0.4154 0.8266
0.0025 131.0 3013 1.2359 0.3336 0.5567 0.4172 0.8191
0.0025 132.0 3036 1.2057 0.3302 0.5544 0.4139 0.8263
0.0025 133.0 3059 1.1999 0.3480 0.5544 0.4276 0.8304
0.0025 134.0 3082 1.2098 0.3230 0.5544 0.4082 0.8246
0.0025 135.0 3105 1.2305 0.3255 0.54 0.4062 0.8227
0.0025 136.0 3128 1.2238 0.3290 0.5356 0.4076 0.8255
0.0025 137.0 3151 1.2014 0.3530 0.5456 0.4286 0.8258
0.0025 138.0 3174 1.2373 0.3536 0.5611 0.4338 0.8248
0.0025 139.0 3197 1.2234 0.3333 0.5544 0.4164 0.8256
0.0025 140.0 3220 1.2205 0.3345 0.5433 0.4141 0.8278
0.0025 141.0 3243 1.2107 0.3406 0.5522 0.4214 0.8275
0.0025 142.0 3266 1.2316 0.3467 0.5478 0.4246 0.8233
0.0025 143.0 3289 1.2420 0.3431 0.5489 0.4222 0.8232
0.0025 144.0 3312 1.2324 0.3430 0.5533 0.4235 0.8247
0.0025 145.0 3335 1.2120 0.3391 0.5489 0.4192 0.8274
0.0025 146.0 3358 1.2396 0.3520 0.5589 0.4319 0.8249
0.0025 147.0 3381 1.2337 0.3502 0.5622 0.4316 0.8252
0.0025 148.0 3404 1.2046 0.3436 0.5556 0.4246 0.8305
0.0025 149.0 3427 1.2149 0.3406 0.5589 0.4232 0.8262
0.0025 150.0 3450 1.2147 0.3469 0.5589 0.4281 0.8276
0.0025 151.0 3473 1.2293 0.3486 0.5578 0.4291 0.8271
0.0025 152.0 3496 1.2431 0.3596 0.5622 0.4387 0.8274
0.0019 153.0 3519 1.2356 0.3603 0.5533 0.4365 0.8270
0.0019 154.0 3542 1.2459 0.3600 0.5656 0.4399 0.8266
0.0019 155.0 3565 1.2203 0.3524 0.5556 0.4312 0.8312
0.0019 156.0 3588 1.2337 0.3653 0.5633 0.4432 0.8304
0.0019 157.0 3611 1.2318 0.3572 0.5644 0.4376 0.8290
0.0019 158.0 3634 1.2456 0.3542 0.5589 0.4336 0.8270
0.0019 159.0 3657 1.2533 0.3474 0.5567 0.4278 0.8252
0.0019 160.0 3680 1.2369 0.3522 0.5544 0.4307 0.8305
0.0019 161.0 3703 1.2516 0.3645 0.5589 0.4412 0.8292
0.0019 162.0 3726 1.2369 0.3448 0.5567 0.4258 0.8296
0.0019 163.0 3749 1.2350 0.3544 0.56 0.4341 0.8316
0.0019 164.0 3772 1.2407 0.3493 0.5589 0.4299 0.8280
0.0019 165.0 3795 1.2450 0.3431 0.5578 0.4249 0.8287
0.0019 166.0 3818 1.2396 0.3593 0.5633 0.4388 0.8312
0.0019 167.0 3841 1.2487 0.3568 0.5689 0.4385 0.8283
0.0019 168.0 3864 1.2995 0.3504 0.5622 0.4317 0.8231
0.0019 169.0 3887 1.2728 0.3502 0.57 0.4338 0.8261
0.0019 170.0 3910 1.2672 0.3605 0.5644 0.4400 0.8263
0.0019 171.0 3933 1.2394 0.3580 0.5489 0.4333 0.8301
0.0019 172.0 3956 1.2566 0.3539 0.5556 0.4323 0.8279
0.0019 173.0 3979 1.2587 0.3514 0.5533 0.4299 0.8281
0.0013 174.0 4002 1.2540 0.3489 0.5467 0.4260 0.8307
0.0013 175.0 4025 1.2817 0.3495 0.5511 0.4278 0.8231
0.0013 176.0 4048 1.2569 0.3543 0.5578 0.4333 0.8275
0.0013 177.0 4071 1.3119 0.3562 0.5544 0.4337 0.8245
0.0013 178.0 4094 1.3102 0.3423 0.5522 0.4226 0.8213
0.0013 179.0 4117 1.2313 0.3407 0.5489 0.4204 0.8320
0.0013 180.0 4140 1.2375 0.3506 0.5567 0.4302 0.8272
0.0013 181.0 4163 1.2360 0.3409 0.5489 0.4206 0.8289
0.0013 182.0 4186 1.2685 0.3465 0.5544 0.4265 0.8281
0.0013 183.0 4209 1.3033 0.3510 0.5511 0.4289 0.8238
0.0013 184.0 4232 1.2407 0.3626 0.5511 0.4374 0.8319
0.0013 185.0 4255 1.2542 0.3605 0.5644 0.4400 0.8284
0.0013 186.0 4278 1.2654 0.3637 0.5633 0.4420 0.8278
0.0013 187.0 4301 1.2667 0.3516 0.5644 0.4333 0.8280
0.0013 188.0 4324 1.2661 0.3542 0.5667 0.4359 0.8293
0.0013 189.0 4347 1.2831 0.3524 0.5533 0.4306 0.8257
0.0013 190.0 4370 1.2593 0.3603 0.55 0.4354 0.8288
0.0013 191.0 4393 1.2186 0.3501 0.5711 0.4341 0.8284
0.0013 192.0 4416 1.2797 0.3576 0.5622 0.4371 0.8222
0.0013 193.0 4439 1.2491 0.3501 0.5656 0.4325 0.8264
0.0013 194.0 4462 1.2456 0.3580 0.5544 0.4350 0.8305
0.0013 195.0 4485 1.2567 0.3542 0.5478 0.4302 0.8275
0.0014 196.0 4508 1.2551 0.3512 0.5611 0.4320 0.8274
0.0014 197.0 4531 1.2512 0.3468 0.5611 0.4287 0.8295
0.0014 198.0 4554 1.2607 0.3465 0.5556 0.4268 0.8279
0.0014 199.0 4577 1.2703 0.3501 0.5556 0.4296 0.8264
0.0014 200.0 4600 1.2536 0.3421 0.5511 0.4221 0.8289
0.0014 201.0 4623 1.2978 0.3302 0.5467 0.4117 0.8242
0.0014 202.0 4646 1.2775 0.3495 0.5456 0.4260 0.8279
0.0014 203.0 4669 1.2697 0.3467 0.5556 0.4270 0.8274
0.0014 204.0 4692 1.2595 0.3525 0.5511 0.4300 0.8295
0.0014 205.0 4715 1.2565 0.3479 0.5578 0.4285 0.8291
0.0014 206.0 4738 1.2547 0.3592 0.5611 0.4380 0.8316
0.0014 207.0 4761 1.2585 0.3537 0.5533 0.4315 0.8303
0.0014 208.0 4784 1.2788 0.3543 0.5622 0.4347 0.8295
0.0014 209.0 4807 1.2566 0.3655 0.5556 0.4409 0.8327
0.0014 210.0 4830 1.2612 0.3655 0.5633 0.4434 0.8326
0.0014 211.0 4853 1.2631 0.3532 0.56 0.4332 0.8321
0.0014 212.0 4876 1.2867 0.3563 0.5467 0.4314 0.8304
0.0014 213.0 4899 1.2959 0.3417 0.5444 0.4199 0.8272
0.0014 214.0 4922 1.2547 0.3577 0.5556 0.4352 0.8339
0.0014 215.0 4945 1.2812 0.3491 0.5567 0.4291 0.8284
0.0014 216.0 4968 1.2780 0.3455 0.5489 0.4240 0.8313
0.0014 217.0 4991 1.2361 0.3500 0.5511 0.4281 0.8349
0.0011 218.0 5014 1.2627 0.3324 0.5433 0.4125 0.8304
0.0011 219.0 5037 1.2884 0.3547 0.5544 0.4326 0.8282
0.0011 220.0 5060 1.2828 0.3320 0.5456 0.4128 0.8270
0.0011 221.0 5083 1.3193 0.3527 0.5467 0.4288 0.8259
0.0011 222.0 5106 1.3023 0.3555 0.5522 0.4326 0.8246
0.0011 223.0 5129 1.2836 0.3354 0.5511 0.4170 0.8305
0.0011 224.0 5152 1.3094 0.3469 0.5511 0.4258 0.8271
0.0011 225.0 5175 1.2760 0.3538 0.5511 0.4309 0.8338
0.0011 226.0 5198 1.2786 0.3494 0.5567 0.4293 0.8336
0.0011 227.0 5221 1.2766 0.3564 0.5556 0.4342 0.8340
0.0011 228.0 5244 1.2738 0.3555 0.5533 0.4329 0.8336
0.0011 229.0 5267 1.2871 0.3538 0.5578 0.4329 0.8292
0.0011 230.0 5290 1.2836 0.3568 0.5578 0.4352 0.8321
0.0011 231.0 5313 1.2787 0.3534 0.5533 0.4314 0.8300
0.0011 232.0 5336 1.2907 0.3538 0.5578 0.4329 0.8327
0.0011 233.0 5359 1.2812 0.3544 0.5556 0.4327 0.8316
0.0011 234.0 5382 1.2802 0.3543 0.5567 0.4330 0.8303
0.0011 235.0 5405 1.3033 0.3484 0.5567 0.4286 0.8284
0.0011 236.0 5428 1.2852 0.3491 0.5578 0.4294 0.8301
0.0011 237.0 5451 1.2866 0.3481 0.5511 0.4267 0.8291
0.0011 238.0 5474 1.2914 0.3524 0.5544 0.4309 0.8297
0.0011 239.0 5497 1.2944 0.3432 0.5522 0.4233 0.8278
0.0009 240.0 5520 1.2860 0.3470 0.5567 0.4275 0.8308
0.0009 241.0 5543 1.2786 0.3516 0.5489 0.4286 0.8309
0.0009 242.0 5566 1.2743 0.3425 0.5511 0.4225 0.8307
0.0009 243.0 5589 1.2843 0.3467 0.5489 0.4249 0.8285
0.0009 244.0 5612 1.3106 0.3372 0.5522 0.4187 0.8266
0.0009 245.0 5635 1.2952 0.3537 0.5456 0.4292 0.8306
0.0009 246.0 5658 1.2716 0.3503 0.5511 0.4283 0.8340
0.0009 247.0 5681 1.3108 0.3452 0.5511 0.4245 0.8254
0.0009 248.0 5704 1.3098 0.3322 0.54 0.4113 0.8283
0.0009 249.0 5727 1.2782 0.3605 0.5544 0.4370 0.8325
0.0009 250.0 5750 1.2979 0.3449 0.5522 0.4246 0.8294
0.0009 251.0 5773 1.2919 0.3492 0.5544 0.4285 0.8313
0.0009 252.0 5796 1.2946 0.3385 0.5533 0.4201 0.8313
0.0009 253.0 5819 1.2994 0.3439 0.5544 0.4245 0.8312
0.0009 254.0 5842 1.2962 0.3522 0.5544 0.4307 0.8312
0.0009 255.0 5865 1.3038 0.3577 0.5556 0.4352 0.8300
0.0009 256.0 5888 1.3091 0.3492 0.5556 0.4288 0.8315
0.0009 257.0 5911 1.2943 0.3477 0.5556 0.4277 0.8315
0.0009 258.0 5934 1.3091 0.3427 0.5556 0.4239 0.8282
0.0009 259.0 5957 1.2957 0.3391 0.5478 0.4189 0.8325
0.0009 260.0 5980 1.2927 0.3367 0.55 0.4177 0.8293
0.0008 261.0 6003 1.2926 0.3363 0.55 0.4174 0.8309
0.0008 262.0 6026 1.2889 0.3449 0.5533 0.4249 0.8326
0.0008 263.0 6049 1.3226 0.3413 0.5522 0.4219 0.8260
0.0008 264.0 6072 1.2979 0.3550 0.5578 0.4339 0.8284
0.0008 265.0 6095 1.3032 0.3493 0.5511 0.4276 0.8289
0.0008 266.0 6118 1.3065 0.3495 0.5533 0.4284 0.8300
0.0008 267.0 6141 1.2992 0.3524 0.5467 0.4286 0.8316
0.0008 268.0 6164 1.2990 0.3560 0.5522 0.4329 0.8310
0.0008 269.0 6187 1.3041 0.3506 0.5489 0.4279 0.8305
0.0008 270.0 6210 1.3046 0.3468 0.5444 0.4237 0.8306
0.0008 271.0 6233 1.3001 0.3626 0.5556 0.4388 0.8317
0.0008 272.0 6256 1.3011 0.3611 0.5533 0.4370 0.8304
0.0008 273.0 6279 1.3057 0.3454 0.5522 0.4250 0.8297
0.0008 274.0 6302 1.3142 0.3416 0.5478 0.4208 0.8280
0.0008 275.0 6325 1.2959 0.3463 0.5544 0.4263 0.8316
0.0008 276.0 6348 1.2905 0.3512 0.5544 0.4300 0.8324
0.0008 277.0 6371 1.3094 0.3531 0.5489 0.4298 0.8301
0.0008 278.0 6394 1.3291 0.3472 0.5456 0.4244 0.8275
0.0008 279.0 6417 1.2861 0.3545 0.5522 0.4318 0.8332
0.0008 280.0 6440 1.2926 0.3549 0.5544 0.4328 0.8307
0.0008 281.0 6463 1.2926 0.3395 0.55 0.4198 0.8313
0.0008 282.0 6486 1.2915 0.3447 0.5511 0.4241 0.8320
0.0007 283.0 6509 1.2848 0.3524 0.5544 0.4309 0.8327
0.0007 284.0 6532 1.2948 0.3491 0.55 0.4271 0.8301
0.0007 285.0 6555 1.2945 0.3492 0.5533 0.4282 0.8311
0.0007 286.0 6578 1.2921 0.3580 0.5544 0.4350 0.8316
0.0007 287.0 6601 1.2980 0.3462 0.5489 0.4246 0.8305
0.0007 288.0 6624 1.2962 0.3388 0.5478 0.4187 0.8310
0.0007 289.0 6647 1.2928 0.3416 0.5478 0.4208 0.8315
0.0007 290.0 6670 1.2891 0.3503 0.55 0.4280 0.8318
0.0007 291.0 6693 1.2905 0.3587 0.5544 0.4356 0.8317
0.0007 292.0 6716 1.2954 0.3559 0.55 0.4321 0.8312
0.0007 293.0 6739 1.2948 0.3510 0.5522 0.4292 0.8311
0.0007 294.0 6762 1.2944 0.3520 0.5522 0.4299 0.8311
0.0007 295.0 6785 1.2957 0.3499 0.5489 0.4273 0.8310
0.0007 296.0 6808 1.2960 0.3489 0.5478 0.4263 0.8311
0.0007 297.0 6831 1.2938 0.3481 0.55 0.4264 0.8319
0.0007 298.0 6854 1.2933 0.3447 0.55 0.4238 0.8317
0.0007 299.0 6877 1.2933 0.3456 0.5511 0.4248 0.8319
0.0007 300.0 6900 1.2935 0.3471 0.55 0.4256 0.8319
Framework versions
  • Transformers 4.27.0.dev0
  • Pytorch 1.13.0
  • Datasets 2.8.0
  • Tokenizers 0.12.1

Runs of joheras clinico-finetuned-augmented1 on huggingface.co

5
Total runs
-1
24-hour runs
-2
3-day runs
-3
7-day runs
1
30-day runs

More Information About clinico-finetuned-augmented1 huggingface.co Model

clinico-finetuned-augmented1 huggingface.co

clinico-finetuned-augmented1 huggingface.co is an AI model on huggingface.co that provides clinico-finetuned-augmented1's model effect (), which can be used instantly with this joheras clinico-finetuned-augmented1 model. huggingface.co supports a free trial of the clinico-finetuned-augmented1 model, and also provides paid use of the clinico-finetuned-augmented1. Support call clinico-finetuned-augmented1 model through api, including Node.js, Python, http.

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clinico-finetuned-augmented1 install

clinico-finetuned-augmented1 is an open source model from GitHub that offers a free installation service, and any user can find clinico-finetuned-augmented1 on GitHub to install. At the same time, huggingface.co provides the effect of clinico-finetuned-augmented1 install, users can directly use clinico-finetuned-augmented1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

clinico-finetuned-augmented1 install url in huggingface.co:

https://huggingface.co/joheras/clinico-finetuned-augmented1

Url of clinico-finetuned-augmented1

clinico-finetuned-augmented1 huggingface.co Url

Provider of clinico-finetuned-augmented1 huggingface.co

joheras
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