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# clinico-finetuned

This model is a fine-tuned version of [joheras/distilbert-base-spanish-uncased-finetuned-clinais](https://huggingface.co/joheras/distilbert-base-spanish-uncased-finetuned-clinais) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0536
- Precision: 0.3004
- Recall: 0.51
- F1: 0.3781
- Accuracy: 0.8204

## 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   | 7    | 1.7885          | 0.0       | 0.0    | 0.0    | 0.4841   |
| No log        | 2.0   | 14   | 1.5381          | 0.0040    | 0.0022 | 0.0028 | 0.4924   |
| No log        | 3.0   | 21   | 1.4049          | 0.0017    | 0.0022 | 0.0020 | 0.5517   |
| No log        | 4.0   | 28   | 1.2835          | 0.0027    | 0.0033 | 0.0030 | 0.5542   |
| No log        | 5.0   | 35   | 1.1609          | 0.0057    | 0.0156 | 0.0083 | 0.6069   |
| No log        | 6.0   | 42   | 1.0795          | 0.0112    | 0.0267 | 0.0158 | 0.6350   |
| No log        | 7.0   | 49   | 1.0056          | 0.0193    | 0.0433 | 0.0267 | 0.6615   |
| No log        | 8.0   | 56   | 1.0315          | 0.0192    | 0.0511 | 0.0279 | 0.6505   |
| No log        | 9.0   | 63   | 1.0341          | 0.0297    | 0.0522 | 0.0379 | 0.6610   |
| No log        | 10.0  | 70   | 0.9341          | 0.0264    | 0.0567 | 0.0360 | 0.6902   |
| No log        | 11.0  | 77   | 0.9192          | 0.0302    | 0.0678 | 0.0418 | 0.7034   |
| No log        | 12.0  | 84   | 0.8875          | 0.0422    | 0.0889 | 0.0572 | 0.7109   |
| No log        | 13.0  | 91   | 0.8691          | 0.0493    | 0.0978 | 0.0655 | 0.7252   |
| No log        | 14.0  | 98   | 0.8442          | 0.0589    | 0.12   | 0.0790 | 0.7403   |
| No log        | 15.0  | 105  | 0.8077          | 0.0676    | 0.1344 | 0.0899 | 0.7508   |
| No log        | 16.0  | 112  | 0.7901          | 0.0701    | 0.1356 | 0.0924 | 0.7548   |
| No log        | 17.0  | 119  | 0.7780          | 0.0738    | 0.1444 | 0.0977 | 0.7570   |
| No log        | 18.0  | 126  | 0.7623          | 0.0849    | 0.1578 | 0.1104 | 0.7620   |
| No log        | 19.0  | 133  | 0.7495          | 0.1003    | 0.1911 | 0.1315 | 0.7682   |
| No log        | 20.0  | 140  | 0.7488          | 0.0995    | 0.1789 | 0.1279 | 0.7743   |
| No log        | 21.0  | 147  | 0.7383          | 0.1038    | 0.1967 | 0.1358 | 0.7756   |
| No log        | 22.0  | 154  | 0.7212          | 0.1221    | 0.2156 | 0.1559 | 0.7831   |
| No log        | 23.0  | 161  | 0.7213          | 0.1121    | 0.2156 | 0.1475 | 0.7789   |
| No log        | 24.0  | 168  | 0.7220          | 0.1195    | 0.2211 | 0.1552 | 0.7814   |
| No log        | 25.0  | 175  | 0.7285          | 0.1219    | 0.2267 | 0.1586 | 0.7813   |
| No log        | 26.0  | 182  | 0.7092          | 0.1307    | 0.2456 | 0.1706 | 0.7842   |
| No log        | 27.0  | 189  | 0.6979          | 0.1192    | 0.2211 | 0.1549 | 0.7850   |
| No log        | 28.0  | 196  | 0.6992          | 0.1517    | 0.2733 | 0.1951 | 0.7853   |
| No log        | 29.0  | 203  | 0.6944          | 0.1365    | 0.2522 | 0.1771 | 0.7873   |
| No log        | 30.0  | 210  | 0.7098          | 0.1458    | 0.2667 | 0.1885 | 0.7886   |
| No log        | 31.0  | 217  | 0.6829          | 0.1537    | 0.2844 | 0.1995 | 0.7901   |
| No log        | 32.0  | 224  | 0.7010          | 0.1696    | 0.3167 | 0.2209 | 0.7931   |
| No log        | 33.0  | 231  | 0.7338          | 0.1424    | 0.2678 | 0.1859 | 0.7815   |
| No log        | 34.0  | 238  | 0.6988          | 0.1568    | 0.3    | 0.2059 | 0.7917   |
| No log        | 35.0  | 245  | 0.7062          | 0.1667    | 0.3256 | 0.2205 | 0.7915   |
| No log        | 36.0  | 252  | 0.7004          | 0.1674    | 0.3311 | 0.2224 | 0.7980   |
| No log        | 37.0  | 259  | 0.7002          | 0.1632    | 0.3256 | 0.2174 | 0.7962   |
| No log        | 38.0  | 266  | 0.7284          | 0.1736    | 0.3333 | 0.2283 | 0.7973   |
| No log        | 39.0  | 273  | 0.7160          | 0.1828    | 0.3322 | 0.2358 | 0.8010   |
| No log        | 40.0  | 280  | 0.7480          | 0.1810    | 0.33   | 0.2338 | 0.7919   |
| No log        | 41.0  | 287  | 0.7030          | 0.1747    | 0.3456 | 0.2321 | 0.7975   |
| No log        | 42.0  | 294  | 0.7211          | 0.1840    | 0.3633 | 0.2443 | 0.7985   |
| No log        | 43.0  | 301  | 0.7400          | 0.1965    | 0.3522 | 0.2523 | 0.7989   |
| No log        | 44.0  | 308  | 0.6821          | 0.1926    | 0.3578 | 0.2504 | 0.8072   |
| No log        | 45.0  | 315  | 0.6933          | 0.2011    | 0.3711 | 0.2608 | 0.8045   |
| No log        | 46.0  | 322  | 0.6924          | 0.2046    | 0.3778 | 0.2654 | 0.8076   |
| No log        | 47.0  | 329  | 0.6904          | 0.1925    | 0.3789 | 0.2553 | 0.8088   |
| No log        | 48.0  | 336  | 0.7049          | 0.2097    | 0.3833 | 0.2711 | 0.8085   |
| No log        | 49.0  | 343  | 0.7082          | 0.2079    | 0.3867 | 0.2704 | 0.8109   |
| No log        | 50.0  | 350  | 0.7102          | 0.2111    | 0.4    | 0.2764 | 0.8081   |
| No log        | 51.0  | 357  | 0.7374          | 0.1949    | 0.3911 | 0.2602 | 0.8029   |
| No log        | 52.0  | 364  | 0.7209          | 0.2099    | 0.4    | 0.2753 | 0.8091   |
| No log        | 53.0  | 371  | 0.7498          | 0.2236    | 0.41   | 0.2894 | 0.8064   |
| No log        | 54.0  | 378  | 0.7212          | 0.2265    | 0.4156 | 0.2932 | 0.8117   |
| No log        | 55.0  | 385  | 0.7211          | 0.2160    | 0.4022 | 0.2811 | 0.8096   |
| No log        | 56.0  | 392  | 0.7298          | 0.2112    | 0.4122 | 0.2793 | 0.8076   |
| No log        | 57.0  | 399  | 0.7362          | 0.2288    | 0.4144 | 0.2949 | 0.8098   |
| No log        | 58.0  | 406  | 0.7376          | 0.2287    | 0.4333 | 0.2994 | 0.8114   |
| No log        | 59.0  | 413  | 0.7383          | 0.2252    | 0.4189 | 0.2929 | 0.8109   |
| No log        | 60.0  | 420  | 0.7445          | 0.2236    | 0.4278 | 0.2937 | 0.8124   |
| No log        | 61.0  | 427  | 0.7460          | 0.2369    | 0.4267 | 0.3046 | 0.8126   |
| No log        | 62.0  | 434  | 0.7735          | 0.2158    | 0.4133 | 0.2835 | 0.8053   |
| No log        | 63.0  | 441  | 0.7543          | 0.2351    | 0.4344 | 0.3051 | 0.8115   |
| No log        | 64.0  | 448  | 0.7608          | 0.2248    | 0.4311 | 0.2955 | 0.8046   |
| No log        | 65.0  | 455  | 0.7717          | 0.2385    | 0.4567 | 0.3134 | 0.8104   |
| No log        | 66.0  | 462  | 0.7812          | 0.2357    | 0.45   | 0.3094 | 0.8095   |
| No log        | 67.0  | 469  | 0.7591          | 0.2438    | 0.4556 | 0.3176 | 0.8140   |
| No log        | 68.0  | 476  | 0.7700          | 0.2398    | 0.4489 | 0.3126 | 0.8122   |
| No log        | 69.0  | 483  | 0.7654          | 0.2555    | 0.4544 | 0.3271 | 0.8149   |
| No log        | 70.0  | 490  | 0.7804          | 0.2348    | 0.4433 | 0.3070 | 0.8103   |
| No log        | 71.0  | 497  | 0.7717          | 0.2517    | 0.4622 | 0.3259 | 0.8141   |
| 0.5194        | 72.0  | 504  | 0.7961          | 0.2451    | 0.4444 | 0.3160 | 0.8134   |
| 0.5194        | 73.0  | 511  | 0.7889          | 0.2412    | 0.4511 | 0.3144 | 0.8149   |
| 0.5194        | 74.0  | 518  | 0.7869          | 0.2486    | 0.4522 | 0.3209 | 0.8145   |
| 0.5194        | 75.0  | 525  | 0.8159          | 0.2261    | 0.4433 | 0.2994 | 0.8081   |
| 0.5194        | 76.0  | 532  | 0.8187          | 0.2404    | 0.4589 | 0.3155 | 0.8102   |
| 0.5194        | 77.0  | 539  | 0.8286          | 0.2377    | 0.4522 | 0.3116 | 0.8097   |
| 0.5194        | 78.0  | 546  | 0.8250          | 0.2456    | 0.4489 | 0.3175 | 0.8109   |
| 0.5194        | 79.0  | 553  | 0.8124          | 0.2356    | 0.44   | 0.3069 | 0.8115   |
| 0.5194        | 80.0  | 560  | 0.8259          | 0.2405    | 0.4489 | 0.3132 | 0.8118   |
| 0.5194        | 81.0  | 567  | 0.8361          | 0.2448    | 0.4489 | 0.3169 | 0.8109   |
| 0.5194        | 82.0  | 574  | 0.8363          | 0.2425    | 0.4467 | 0.3143 | 0.8108   |
| 0.5194        | 83.0  | 581  | 0.8129          | 0.2470    | 0.4544 | 0.3200 | 0.8145   |
| 0.5194        | 84.0  | 588  | 0.8117          | 0.2564    | 0.4533 | 0.3276 | 0.8154   |
| 0.5194        | 85.0  | 595  | 0.8218          | 0.2527    | 0.4622 | 0.3268 | 0.8146   |
| 0.5194        | 86.0  | 602  | 0.8242          | 0.2530    | 0.4644 | 0.3276 | 0.8145   |
| 0.5194        | 87.0  | 609  | 0.8333          | 0.2503    | 0.46   | 0.3242 | 0.8135   |
| 0.5194        | 88.0  | 616  | 0.8256          | 0.2486    | 0.4589 | 0.3225 | 0.8144   |
| 0.5194        | 89.0  | 623  | 0.8293          | 0.2438    | 0.4578 | 0.3181 | 0.8136   |
| 0.5194        | 90.0  | 630  | 0.8093          | 0.2485    | 0.4678 | 0.3246 | 0.8195   |
| 0.5194        | 91.0  | 637  | 0.8267          | 0.2545    | 0.46   | 0.3277 | 0.8153   |
| 0.5194        | 92.0  | 644  | 0.8331          | 0.2543    | 0.4589 | 0.3273 | 0.8177   |
| 0.5194        | 93.0  | 651  | 0.8397          | 0.2569    | 0.4656 | 0.3311 | 0.8155   |
| 0.5194        | 94.0  | 658  | 0.8320          | 0.2555    | 0.4656 | 0.3299 | 0.8161   |
| 0.5194        | 95.0  | 665  | 0.8507          | 0.2424    | 0.4622 | 0.3180 | 0.8124   |
| 0.5194        | 96.0  | 672  | 0.8698          | 0.2564    | 0.4689 | 0.3315 | 0.8102   |
| 0.5194        | 97.0  | 679  | 0.8610          | 0.2481    | 0.46   | 0.3223 | 0.8154   |
| 0.5194        | 98.0  | 686  | 0.8573          | 0.2505    | 0.4556 | 0.3232 | 0.8120   |
| 0.5194        | 99.0  | 693  | 0.8492          | 0.2657    | 0.4667 | 0.3386 | 0.8163   |
| 0.5194        | 100.0 | 700  | 0.8765          | 0.2490    | 0.4689 | 0.3252 | 0.8127   |
| 0.5194        | 101.0 | 707  | 0.8682          | 0.2707    | 0.4767 | 0.3453 | 0.8124   |
| 0.5194        | 102.0 | 714  | 0.8709          | 0.2527    | 0.4722 | 0.3292 | 0.8151   |
| 0.5194        | 103.0 | 721  | 0.8683          | 0.2665    | 0.4744 | 0.3413 | 0.8148   |
| 0.5194        | 104.0 | 728  | 0.8675          | 0.2609    | 0.4767 | 0.3373 | 0.8156   |
| 0.5194        | 105.0 | 735  | 0.8953          | 0.2595    | 0.47   | 0.3344 | 0.8119   |
| 0.5194        | 106.0 | 742  | 0.8721          | 0.2740    | 0.4878 | 0.3509 | 0.8162   |
| 0.5194        | 107.0 | 749  | 0.8570          | 0.2716    | 0.4744 | 0.3455 | 0.8167   |
| 0.5194        | 108.0 | 756  | 0.8881          | 0.2584    | 0.4767 | 0.3352 | 0.8137   |
| 0.5194        | 109.0 | 763  | 0.8855          | 0.2693    | 0.4889 | 0.3473 | 0.8165   |
| 0.5194        | 110.0 | 770  | 0.8825          | 0.2539    | 0.4856 | 0.3335 | 0.8166   |
| 0.5194        | 111.0 | 777  | 0.8755          | 0.2581    | 0.4789 | 0.3354 | 0.8140   |
| 0.5194        | 112.0 | 784  | 0.8841          | 0.2719    | 0.48   | 0.3471 | 0.8154   |
| 0.5194        | 113.0 | 791  | 0.8766          | 0.2691    | 0.4856 | 0.3463 | 0.8165   |
| 0.5194        | 114.0 | 798  | 0.8856          | 0.2679    | 0.4856 | 0.3453 | 0.8171   |
| 0.5194        | 115.0 | 805  | 0.9099          | 0.2710    | 0.48   | 0.3464 | 0.8159   |
| 0.5194        | 116.0 | 812  | 0.9588          | 0.2712    | 0.4789 | 0.3463 | 0.8090   |
| 0.5194        | 117.0 | 819  | 0.8902          | 0.2746    | 0.4933 | 0.3528 | 0.8182   |
| 0.5194        | 118.0 | 826  | 0.8917          | 0.2762    | 0.4911 | 0.3536 | 0.8173   |
| 0.5194        | 119.0 | 833  | 0.8984          | 0.2853    | 0.5011 | 0.3636 | 0.8173   |
| 0.5194        | 120.0 | 840  | 0.9035          | 0.2810    | 0.5056 | 0.3613 | 0.8175   |
| 0.5194        | 121.0 | 847  | 0.9249          | 0.2778    | 0.4856 | 0.3534 | 0.8145   |
| 0.5194        | 122.0 | 854  | 0.9149          | 0.2728    | 0.4844 | 0.3491 | 0.8159   |
| 0.5194        | 123.0 | 861  | 0.9365          | 0.2687    | 0.4822 | 0.3451 | 0.8122   |
| 0.5194        | 124.0 | 868  | 0.9182          | 0.2762    | 0.4867 | 0.3524 | 0.8156   |
| 0.5194        | 125.0 | 875  | 0.9079          | 0.2747    | 0.4967 | 0.3538 | 0.8165   |
| 0.5194        | 126.0 | 882  | 0.9159          | 0.2814    | 0.5033 | 0.3610 | 0.8198   |
| 0.5194        | 127.0 | 889  | 0.9025          | 0.2685    | 0.4989 | 0.3491 | 0.8196   |
| 0.5194        | 128.0 | 896  | 0.9401          | 0.2795    | 0.4967 | 0.3577 | 0.8163   |
| 0.5194        | 129.0 | 903  | 0.9396          | 0.2832    | 0.4856 | 0.3578 | 0.8171   |
| 0.5194        | 130.0 | 910  | 0.9067          | 0.2784    | 0.4933 | 0.3559 | 0.8211   |
| 0.5194        | 131.0 | 917  | 0.9288          | 0.2747    | 0.4844 | 0.3506 | 0.8166   |
| 0.5194        | 132.0 | 924  | 0.9287          | 0.2829    | 0.49   | 0.3587 | 0.8177   |
| 0.5194        | 133.0 | 931  | 0.9286          | 0.2809    | 0.4978 | 0.3591 | 0.8151   |
| 0.5194        | 134.0 | 938  | 0.9223          | 0.2874    | 0.4911 | 0.3626 | 0.8162   |
| 0.5194        | 135.0 | 945  | 0.9228          | 0.2876    | 0.5078 | 0.3672 | 0.8191   |
| 0.5194        | 136.0 | 952  | 0.9307          | 0.2829    | 0.4989 | 0.3611 | 0.8201   |
| 0.5194        | 137.0 | 959  | 0.9281          | 0.2799    | 0.4911 | 0.3566 | 0.8183   |
| 0.5194        | 138.0 | 966  | 0.9308          | 0.2821    | 0.5022 | 0.3613 | 0.8193   |
| 0.5194        | 139.0 | 973  | 0.9601          | 0.2846    | 0.5056 | 0.3641 | 0.8160   |
| 0.5194        | 140.0 | 980  | 0.9596          | 0.2745    | 0.4856 | 0.3507 | 0.8159   |
| 0.5194        | 141.0 | 987  | 0.9374          | 0.2976    | 0.49   | 0.3703 | 0.8195   |
| 0.5194        | 142.0 | 994  | 0.9455          | 0.2829    | 0.5033 | 0.3623 | 0.8193   |
| 0.0657        | 143.0 | 1001 | 0.9550          | 0.2845    | 0.5    | 0.3626 | 0.8182   |
| 0.0657        | 144.0 | 1008 | 0.9407          | 0.2873    | 0.4944 | 0.3634 | 0.8217   |
| 0.0657        | 145.0 | 1015 | 0.9361          | 0.2940    | 0.5011 | 0.3706 | 0.8220   |
| 0.0657        | 146.0 | 1022 | 0.9582          | 0.2865    | 0.4967 | 0.3634 | 0.8206   |
| 0.0657        | 147.0 | 1029 | 0.9522          | 0.2910    | 0.5067 | 0.3697 | 0.8196   |
| 0.0657        | 148.0 | 1036 | 0.9473          | 0.2828    | 0.4889 | 0.3583 | 0.8188   |
| 0.0657        | 149.0 | 1043 | 0.9520          | 0.2884    | 0.5044 | 0.3670 | 0.8199   |
| 0.0657        | 150.0 | 1050 | 0.9561          | 0.2814    | 0.4956 | 0.3590 | 0.8193   |
| 0.0657        | 151.0 | 1057 | 0.9531          | 0.2851    | 0.4967 | 0.3622 | 0.8198   |
| 0.0657        | 152.0 | 1064 | 0.9699          | 0.2984    | 0.5067 | 0.3756 | 0.8182   |
| 0.0657        | 153.0 | 1071 | 0.9407          | 0.2829    | 0.5067 | 0.3631 | 0.8215   |
| 0.0657        | 154.0 | 1078 | 0.9598          | 0.2879    | 0.5022 | 0.3660 | 0.8194   |
| 0.0657        | 155.0 | 1085 | 0.9807          | 0.2869    | 0.4944 | 0.3631 | 0.8161   |
| 0.0657        | 156.0 | 1092 | 0.9843          | 0.2790    | 0.4967 | 0.3573 | 0.8163   |
| 0.0657        | 157.0 | 1099 | 0.9526          | 0.2812    | 0.4989 | 0.3596 | 0.8203   |
| 0.0657        | 158.0 | 1106 | 0.9488          | 0.2820    | 0.5122 | 0.3637 | 0.8202   |
| 0.0657        | 159.0 | 1113 | 0.9765          | 0.2840    | 0.49   | 0.3596 | 0.8173   |
| 0.0657        | 160.0 | 1120 | 0.9853          | 0.2866    | 0.4978 | 0.3638 | 0.8167   |
| 0.0657        | 161.0 | 1127 | 0.9693          | 0.2900    | 0.5033 | 0.3680 | 0.8189   |
| 0.0657        | 162.0 | 1134 | 0.9761          | 0.2789    | 0.4911 | 0.3557 | 0.8163   |
| 0.0657        | 163.0 | 1141 | 0.9577          | 0.2936    | 0.5011 | 0.3703 | 0.8196   |
| 0.0657        | 164.0 | 1148 | 0.9707          | 0.2817    | 0.4989 | 0.3601 | 0.8194   |
| 0.0657        | 165.0 | 1155 | 0.9672          | 0.2889    | 0.5033 | 0.3671 | 0.8192   |
| 0.0657        | 166.0 | 1162 | 0.9628          | 0.2911    | 0.5056 | 0.3695 | 0.8198   |
| 0.0657        | 167.0 | 1169 | 0.9803          | 0.2812    | 0.5078 | 0.3620 | 0.8195   |
| 0.0657        | 168.0 | 1176 | 0.9813          | 0.2801    | 0.4911 | 0.3567 | 0.8189   |
| 0.0657        | 169.0 | 1183 | 0.9778          | 0.2820    | 0.4967 | 0.3598 | 0.8192   |
| 0.0657        | 170.0 | 1190 | 0.9679          | 0.2854    | 0.5033 | 0.3643 | 0.8198   |
| 0.0657        | 171.0 | 1197 | 0.9780          | 0.2915    | 0.5111 | 0.3713 | 0.8176   |
| 0.0657        | 172.0 | 1204 | 0.9651          | 0.2964    | 0.5144 | 0.3761 | 0.8219   |
| 0.0657        | 173.0 | 1211 | 0.9895          | 0.2834    | 0.4967 | 0.3609 | 0.8198   |
| 0.0657        | 174.0 | 1218 | 0.9579          | 0.2928    | 0.5089 | 0.3718 | 0.8247   |
| 0.0657        | 175.0 | 1225 | 0.9886          | 0.2890    | 0.4978 | 0.3657 | 0.8181   |
| 0.0657        | 176.0 | 1232 | 0.9827          | 0.2855    | 0.4933 | 0.3617 | 0.8174   |
| 0.0657        | 177.0 | 1239 | 0.9709          | 0.2834    | 0.4944 | 0.3603 | 0.8208   |
| 0.0657        | 178.0 | 1246 | 0.9850          | 0.2856    | 0.4967 | 0.3627 | 0.8200   |
| 0.0657        | 179.0 | 1253 | 0.9991          | 0.2898    | 0.49   | 0.3642 | 0.8163   |
| 0.0657        | 180.0 | 1260 | 0.9882          | 0.2925    | 0.4956 | 0.3678 | 0.8191   |
| 0.0657        | 181.0 | 1267 | 0.9835          | 0.2979    | 0.51   | 0.3761 | 0.8190   |
| 0.0657        | 182.0 | 1274 | 1.0037          | 0.2903    | 0.4967 | 0.3664 | 0.8145   |
| 0.0657        | 183.0 | 1281 | 0.9901          | 0.2974    | 0.5056 | 0.3745 | 0.8163   |
| 0.0657        | 184.0 | 1288 | 0.9907          | 0.2945    | 0.5089 | 0.3731 | 0.8191   |
| 0.0657        | 185.0 | 1295 | 0.9965          | 0.2874    | 0.51   | 0.3676 | 0.8199   |
| 0.0657        | 186.0 | 1302 | 1.0017          | 0.3037    | 0.5078 | 0.3800 | 0.8196   |
| 0.0657        | 187.0 | 1309 | 0.9866          | 0.2978    | 0.5156 | 0.3775 | 0.8221   |
| 0.0657        | 188.0 | 1316 | 1.0039          | 0.2947    | 0.4944 | 0.3693 | 0.8181   |
| 0.0657        | 189.0 | 1323 | 0.9885          | 0.2953    | 0.5122 | 0.3746 | 0.8202   |
| 0.0657        | 190.0 | 1330 | 1.0066          | 0.2876    | 0.4989 | 0.3649 | 0.8196   |
| 0.0657        | 191.0 | 1337 | 0.9938          | 0.2953    | 0.5056 | 0.3728 | 0.8209   |
| 0.0657        | 192.0 | 1344 | 0.9948          | 0.2989    | 0.5022 | 0.3748 | 0.8210   |
| 0.0657        | 193.0 | 1351 | 0.9947          | 0.3004    | 0.5067 | 0.3772 | 0.8212   |
| 0.0657        | 194.0 | 1358 | 1.0037          | 0.2956    | 0.5022 | 0.3722 | 0.8194   |
| 0.0657        | 195.0 | 1365 | 1.0220          | 0.2948    | 0.5022 | 0.3716 | 0.8160   |
| 0.0657        | 196.0 | 1372 | 1.0186          | 0.2963    | 0.4944 | 0.3705 | 0.8165   |
| 0.0657        | 197.0 | 1379 | 1.0148          | 0.2917    | 0.5056 | 0.3699 | 0.8213   |
| 0.0657        | 198.0 | 1386 | 1.0094          | 0.2944    | 0.5011 | 0.3709 | 0.8190   |
| 0.0657        | 199.0 | 1393 | 1.0160          | 0.2901    | 0.4989 | 0.3668 | 0.8201   |
| 0.0657        | 200.0 | 1400 | 1.0112          | 0.3043    | 0.5056 | 0.3800 | 0.8189   |
| 0.0657        | 201.0 | 1407 | 1.0158          | 0.2968    | 0.5056 | 0.3740 | 0.8188   |
| 0.0657        | 202.0 | 1414 | 1.0035          | 0.2895    | 0.5089 | 0.3691 | 0.8213   |
| 0.0657        | 203.0 | 1421 | 1.0105          | 0.2888    | 0.5    | 0.3662 | 0.8187   |
| 0.0657        | 204.0 | 1428 | 1.0127          | 0.2933    | 0.5022 | 0.3703 | 0.8191   |
| 0.0657        | 205.0 | 1435 | 1.0176          | 0.2960    | 0.5056 | 0.3734 | 0.8202   |
| 0.0657        | 206.0 | 1442 | 1.0181          | 0.2951    | 0.5033 | 0.3721 | 0.8185   |
| 0.0657        | 207.0 | 1449 | 1.0131          | 0.3040    | 0.51   | 0.3809 | 0.8219   |
| 0.0657        | 208.0 | 1456 | 1.0256          | 0.2954    | 0.4989 | 0.3711 | 0.8174   |
| 0.0657        | 209.0 | 1463 | 1.0064          | 0.3005    | 0.5044 | 0.3766 | 0.8219   |
| 0.0657        | 210.0 | 1470 | 1.0193          | 0.2919    | 0.4978 | 0.3680 | 0.8191   |
| 0.0657        | 211.0 | 1477 | 1.0085          | 0.2968    | 0.5122 | 0.3759 | 0.8221   |
| 0.0657        | 212.0 | 1484 | 1.0138          | 0.2977    | 0.5111 | 0.3763 | 0.8207   |
| 0.0657        | 213.0 | 1491 | 1.0196          | 0.2963    | 0.51   | 0.3748 | 0.8206   |
| 0.0657        | 214.0 | 1498 | 1.0138          | 0.3062    | 0.5189 | 0.3852 | 0.8208   |
| 0.0233        | 215.0 | 1505 | 1.0171          | 0.2995    | 0.5078 | 0.3768 | 0.8217   |
| 0.0233        | 216.0 | 1512 | 1.0243          | 0.2989    | 0.5022 | 0.3748 | 0.8190   |
| 0.0233        | 217.0 | 1519 | 1.0273          | 0.2996    | 0.51   | 0.3775 | 0.8199   |
| 0.0233        | 218.0 | 1526 | 1.0419          | 0.2917    | 0.4956 | 0.3672 | 0.8189   |
| 0.0233        | 219.0 | 1533 | 1.0361          | 0.2921    | 0.5089 | 0.3712 | 0.8208   |
| 0.0233        | 220.0 | 1540 | 1.0353          | 0.3059    | 0.4989 | 0.3792 | 0.8175   |
| 0.0233        | 221.0 | 1547 | 1.0399          | 0.2904    | 0.4967 | 0.3665 | 0.8189   |
| 0.0233        | 222.0 | 1554 | 1.0300          | 0.2967    | 0.5033 | 0.3733 | 0.8172   |
| 0.0233        | 223.0 | 1561 | 1.0406          | 0.2917    | 0.4978 | 0.3678 | 0.8172   |
| 0.0233        | 224.0 | 1568 | 1.0397          | 0.2959    | 0.5033 | 0.3727 | 0.8154   |
| 0.0233        | 225.0 | 1575 | 1.0303          | 0.2915    | 0.5056 | 0.3698 | 0.8183   |
| 0.0233        | 226.0 | 1582 | 1.0503          | 0.2916    | 0.4989 | 0.3680 | 0.8164   |
| 0.0233        | 227.0 | 1589 | 1.0304          | 0.2968    | 0.5078 | 0.3746 | 0.8193   |
| 0.0233        | 228.0 | 1596 | 1.0411          | 0.3026    | 0.5067 | 0.3789 | 0.8176   |
| 0.0233        | 229.0 | 1603 | 1.0476          | 0.2884    | 0.5044 | 0.3670 | 0.8181   |
| 0.0233        | 230.0 | 1610 | 1.0561          | 0.2940    | 0.4922 | 0.3681 | 0.8171   |
| 0.0233        | 231.0 | 1617 | 1.0396          | 0.2909    | 0.5022 | 0.3684 | 0.8177   |
| 0.0233        | 232.0 | 1624 | 1.0424          | 0.2916    | 0.51   | 0.3711 | 0.8187   |
| 0.0233        | 233.0 | 1631 | 1.0470          | 0.2977    | 0.5078 | 0.3754 | 0.8191   |
| 0.0233        | 234.0 | 1638 | 1.0371          | 0.2985    | 0.5111 | 0.3769 | 0.8206   |
| 0.0233        | 235.0 | 1645 | 1.0318          | 0.2997    | 0.5111 | 0.3778 | 0.8211   |
| 0.0233        | 236.0 | 1652 | 1.0325          | 0.2943    | 0.5089 | 0.3730 | 0.8186   |
| 0.0233        | 237.0 | 1659 | 1.0300          | 0.2972    | 0.5122 | 0.3762 | 0.8194   |
| 0.0233        | 238.0 | 1666 | 1.0409          | 0.2935    | 0.51   | 0.3726 | 0.8186   |
| 0.0233        | 239.0 | 1673 | 1.0385          | 0.2940    | 0.51   | 0.3730 | 0.8181   |
| 0.0233        | 240.0 | 1680 | 1.0452          | 0.2965    | 0.5122 | 0.3756 | 0.8186   |
| 0.0233        | 241.0 | 1687 | 1.0480          | 0.2997    | 0.5144 | 0.3787 | 0.8194   |
| 0.0233        | 242.0 | 1694 | 1.0403          | 0.2935    | 0.5056 | 0.3714 | 0.8193   |
| 0.0233        | 243.0 | 1701 | 1.0357          | 0.3007    | 0.5156 | 0.3799 | 0.8209   |
| 0.0233        | 244.0 | 1708 | 1.0501          | 0.2911    | 0.51   | 0.3706 | 0.8182   |
| 0.0233        | 245.0 | 1715 | 1.0516          | 0.2954    | 0.5022 | 0.3720 | 0.8182   |
| 0.0233        | 246.0 | 1722 | 1.0315          | 0.3041    | 0.5133 | 0.3820 | 0.8203   |
| 0.0233        | 247.0 | 1729 | 1.0452          | 0.2959    | 0.5033 | 0.3727 | 0.8184   |
| 0.0233        | 248.0 | 1736 | 1.0485          | 0.2951    | 0.5056 | 0.3726 | 0.8187   |
| 0.0233        | 249.0 | 1743 | 1.0380          | 0.2977    | 0.5144 | 0.3772 | 0.8205   |
| 0.0233        | 250.0 | 1750 | 1.0420          | 0.2939    | 0.5056 | 0.3717 | 0.8195   |
| 0.0233        | 251.0 | 1757 | 1.0489          | 0.2966    | 0.5056 | 0.3739 | 0.8192   |
| 0.0233        | 252.0 | 1764 | 1.0420          | 0.2984    | 0.51   | 0.3765 | 0.8193   |
| 0.0233        | 253.0 | 1771 | 1.0538          | 0.2882    | 0.4989 | 0.3653 | 0.8161   |
| 0.0233        | 254.0 | 1778 | 1.0487          | 0.2977    | 0.5078 | 0.3754 | 0.8200   |
| 0.0233        | 255.0 | 1785 | 1.0461          | 0.2995    | 0.5078 | 0.3768 | 0.8206   |
| 0.0233        | 256.0 | 1792 | 1.0519          | 0.2925    | 0.5067 | 0.3709 | 0.8193   |
| 0.0233        | 257.0 | 1799 | 1.0625          | 0.2866    | 0.4978 | 0.3638 | 0.8170   |
| 0.0233        | 258.0 | 1806 | 1.0469          | 0.2946    | 0.5044 | 0.3720 | 0.8174   |
| 0.0233        | 259.0 | 1813 | 1.0497          | 0.2943    | 0.5078 | 0.3726 | 0.8202   |
| 0.0233        | 260.0 | 1820 | 1.0584          | 0.2934    | 0.5067 | 0.3716 | 0.8184   |
| 0.0233        | 261.0 | 1827 | 1.0540          | 0.2947    | 0.5    | 0.3708 | 0.8187   |
| 0.0233        | 262.0 | 1834 | 1.0454          | 0.2979    | 0.5078 | 0.3755 | 0.8201   |
| 0.0233        | 263.0 | 1841 | 1.0444          | 0.3001    | 0.5122 | 0.3785 | 0.8201   |
| 0.0233        | 264.0 | 1848 | 1.0506          | 0.2898    | 0.5056 | 0.3684 | 0.8209   |
| 0.0233        | 265.0 | 1855 | 1.0494          | 0.2952    | 0.5044 | 0.3724 | 0.8215   |
| 0.0233        | 266.0 | 1862 | 1.0406          | 0.2972    | 0.5111 | 0.3758 | 0.8223   |
| 0.0233        | 267.0 | 1869 | 1.0539          | 0.2958    | 0.5044 | 0.3729 | 0.8197   |
| 0.0233        | 268.0 | 1876 | 1.0583          | 0.2968    | 0.5111 | 0.3755 | 0.8200   |
| 0.0233        | 269.0 | 1883 | 1.0567          | 0.3002    | 0.51   | 0.3779 | 0.8197   |
| 0.0233        | 270.0 | 1890 | 1.0566          | 0.3014    | 0.5133 | 0.3798 | 0.8190   |
| 0.0233        | 271.0 | 1897 | 1.0604          | 0.2992    | 0.5156 | 0.3786 | 0.8187   |
| 0.0233        | 272.0 | 1904 | 1.0593          | 0.2966    | 0.5111 | 0.3754 | 0.8183   |
| 0.0233        | 273.0 | 1911 | 1.0566          | 0.3017    | 0.5122 | 0.3797 | 0.8194   |
| 0.0233        | 274.0 | 1918 | 1.0575          | 0.3025    | 0.5156 | 0.3813 | 0.8202   |
| 0.0233        | 275.0 | 1925 | 1.0553          | 0.3001    | 0.5211 | 0.3808 | 0.8211   |
| 0.0233        | 276.0 | 1932 | 1.0546          | 0.2975    | 0.5133 | 0.3767 | 0.8208   |
| 0.0233        | 277.0 | 1939 | 1.0498          | 0.3001    | 0.5122 | 0.3785 | 0.8216   |
| 0.0233        | 278.0 | 1946 | 1.0502          | 0.3012    | 0.5144 | 0.3800 | 0.8213   |
| 0.0233        | 279.0 | 1953 | 1.0504          | 0.3015    | 0.5156 | 0.3805 | 0.8211   |
| 0.0233        | 280.0 | 1960 | 1.0517          | 0.2977    | 0.5078 | 0.3754 | 0.8207   |
| 0.0233        | 281.0 | 1967 | 1.0495          | 0.3016    | 0.5133 | 0.3799 | 0.8212   |
| 0.0233        | 282.0 | 1974 | 1.0519          | 0.2966    | 0.5167 | 0.3768 | 0.8205   |
| 0.0233        | 283.0 | 1981 | 1.0528          | 0.2960    | 0.5133 | 0.3755 | 0.8207   |
| 0.0233        | 284.0 | 1988 | 1.0523          | 0.2987    | 0.5111 | 0.3770 | 0.8202   |
| 0.0233        | 285.0 | 1995 | 1.0499          | 0.2995    | 0.5089 | 0.3771 | 0.8205   |
| 0.0143        | 286.0 | 2002 | 1.0481          | 0.2982    | 0.51   | 0.3764 | 0.8208   |
| 0.0143        | 287.0 | 2009 | 1.0484          | 0.3024    | 0.5144 | 0.3809 | 0.8212   |
| 0.0143        | 288.0 | 2016 | 1.0497          | 0.3006    | 0.5167 | 0.3801 | 0.8213   |
| 0.0143        | 289.0 | 2023 | 1.0501          | 0.2999    | 0.5156 | 0.3792 | 0.8210   |
| 0.0143        | 290.0 | 2030 | 1.0520          | 0.3005    | 0.5111 | 0.3784 | 0.8206   |
| 0.0143        | 291.0 | 2037 | 1.0553          | 0.2988    | 0.5089 | 0.3765 | 0.8206   |
| 0.0143        | 292.0 | 2044 | 1.0567          | 0.2999    | 0.5122 | 0.3783 | 0.8207   |
| 0.0143        | 293.0 | 2051 | 1.0549          | 0.3012    | 0.5111 | 0.3791 | 0.8208   |
| 0.0143        | 294.0 | 2058 | 1.0525          | 0.2970    | 0.5144 | 0.3766 | 0.8205   |
| 0.0143        | 295.0 | 2065 | 1.0525          | 0.2958    | 0.5133 | 0.3753 | 0.8206   |
| 0.0143        | 296.0 | 2072 | 1.0533          | 0.3002    | 0.5133 | 0.3788 | 0.8206   |
| 0.0143        | 297.0 | 2079 | 1.0537          | 0.3017    | 0.5122 | 0.3797 | 0.8206   |
| 0.0143        | 298.0 | 2086 | 1.0538          | 0.2996    | 0.51   | 0.3775 | 0.8204   |
| 0.0143        | 299.0 | 2093 | 1.0537          | 0.3008    | 0.51   | 0.3784 | 0.8205   |
| 0.0143        | 300.0 | 2100 | 1.0536          | 0.3004    | 0.51   | 0.3781 | 0.8204   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "clinico-finetuned", "results": []}]}
transformers pytorch tensorboard distilbert token-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

clinico-finetuned
=================


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: 1.0536
* Precision: 0.3004
* Recall: 0.51
* F1: 0.3781
* Accuracy: 0.8204


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



### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1



### 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 ### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #distilbert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #distilbert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1