
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# clinico

This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0583
- Precision: 0.3056
- Recall: 0.5189
- F1: 0.3847
- Accuracy: 0.8225

## 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    | 1.7011          | 0.0       | 0.0    | 0.0    | 0.4843   |
| No log        | 2.0   | 14   | 1.5037          | 0.0294    | 0.0233 | 0.0260 | 0.5066   |
| No log        | 3.0   | 21   | 1.3824          | 0.0027    | 0.0033 | 0.0030 | 0.5507   |
| No log        | 4.0   | 28   | 1.3015          | 0.0012    | 0.0011 | 0.0011 | 0.5550   |
| No log        | 5.0   | 35   | 1.2231          | 0.0036    | 0.0056 | 0.0044 | 0.5648   |
| No log        | 6.0   | 42   | 1.1648          | 0.0052    | 0.01   | 0.0068 | 0.5900   |
| No log        | 7.0   | 49   | 1.1165          | 0.0089    | 0.02   | 0.0123 | 0.6053   |
| No log        | 8.0   | 56   | 1.0470          | 0.0121    | 0.0322 | 0.0176 | 0.6391   |
| No log        | 9.0   | 63   | 0.9909          | 0.0194    | 0.05   | 0.0279 | 0.6645   |
| No log        | 10.0  | 70   | 0.9535          | 0.0266    | 0.0589 | 0.0367 | 0.6758   |
| No log        | 11.0  | 77   | 0.9146          | 0.0372    | 0.0833 | 0.0515 | 0.7006   |
| No log        | 12.0  | 84   | 0.9008          | 0.0448    | 0.09   | 0.0598 | 0.7124   |
| No log        | 13.0  | 91   | 0.8957          | 0.0477    | 0.0878 | 0.0618 | 0.7169   |
| No log        | 14.0  | 98   | 0.8472          | 0.0563    | 0.11   | 0.0745 | 0.7335   |
| No log        | 15.0  | 105  | 0.8202          | 0.0570    | 0.1133 | 0.0758 | 0.7400   |
| No log        | 16.0  | 112  | 0.8045          | 0.0696    | 0.1311 | 0.0909 | 0.7425   |
| No log        | 17.0  | 119  | 0.7985          | 0.0688    | 0.13   | 0.0900 | 0.7433   |
| No log        | 18.0  | 126  | 0.7883          | 0.0770    | 0.14   | 0.0994 | 0.7483   |
| No log        | 19.0  | 133  | 0.7715          | 0.0836    | 0.1556 | 0.1088 | 0.7545   |
| No log        | 20.0  | 140  | 0.7656          | 0.0912    | 0.1656 | 0.1176 | 0.7580   |
| No log        | 21.0  | 147  | 0.7639          | 0.0883    | 0.1689 | 0.1159 | 0.7577   |
| No log        | 22.0  | 154  | 0.7444          | 0.0884    | 0.1689 | 0.1161 | 0.7636   |
| No log        | 23.0  | 161  | 0.7479          | 0.0928    | 0.1778 | 0.1219 | 0.7659   |
| No log        | 24.0  | 168  | 0.7377          | 0.0936    | 0.1822 | 0.1237 | 0.7711   |
| No log        | 25.0  | 175  | 0.7229          | 0.1030    | 0.1989 | 0.1357 | 0.7732   |
| No log        | 26.0  | 182  | 0.7222          | 0.1080    | 0.2078 | 0.1422 | 0.7750   |
| No log        | 27.0  | 189  | 0.7195          | 0.1105    | 0.2067 | 0.1440 | 0.7711   |
| No log        | 28.0  | 196  | 0.7197          | 0.1133    | 0.22   | 0.1495 | 0.7744   |
| No log        | 29.0  | 203  | 0.7136          | 0.1179    | 0.23   | 0.1559 | 0.7773   |
| No log        | 30.0  | 210  | 0.7140          | 0.1236    | 0.2367 | 0.1624 | 0.7792   |
| No log        | 31.0  | 217  | 0.6951          | 0.1226    | 0.2378 | 0.1618 | 0.7804   |
| No log        | 32.0  | 224  | 0.7239          | 0.1372    | 0.2611 | 0.1799 | 0.7837   |
| No log        | 33.0  | 231  | 0.7081          | 0.1362    | 0.2644 | 0.1798 | 0.7876   |
| No log        | 34.0  | 238  | 0.7006          | 0.1290    | 0.2578 | 0.1719 | 0.7826   |
| No log        | 35.0  | 245  | 0.7019          | 0.1481    | 0.2833 | 0.1945 | 0.7907   |
| No log        | 36.0  | 252  | 0.7151          | 0.1375    | 0.2778 | 0.1840 | 0.7928   |
| No log        | 37.0  | 259  | 0.7046          | 0.1561    | 0.3022 | 0.2058 | 0.7931   |
| No log        | 38.0  | 266  | 0.7066          | 0.1553    | 0.3111 | 0.2072 | 0.7969   |
| No log        | 39.0  | 273  | 0.7000          | 0.1589    | 0.3089 | 0.2098 | 0.7946   |
| No log        | 40.0  | 280  | 0.7155          | 0.1730    | 0.3322 | 0.2275 | 0.7963   |
| No log        | 41.0  | 287  | 0.7091          | 0.1758    | 0.3311 | 0.2297 | 0.7974   |
| No log        | 42.0  | 294  | 0.7170          | 0.1758    | 0.3367 | 0.2309 | 0.7985   |
| No log        | 43.0  | 301  | 0.7191          | 0.1828    | 0.3444 | 0.2388 | 0.7989   |
| No log        | 44.0  | 308  | 0.7016          | 0.1935    | 0.3489 | 0.2489 | 0.7947   |
| No log        | 45.0  | 315  | 0.7021          | 0.2       | 0.3711 | 0.2599 | 0.8007   |
| No log        | 46.0  | 322  | 0.6913          | 0.1940    | 0.3589 | 0.2519 | 0.8006   |
| No log        | 47.0  | 329  | 0.7037          | 0.1884    | 0.3644 | 0.2484 | 0.8011   |
| No log        | 48.0  | 336  | 0.7169          | 0.1917    | 0.3733 | 0.2533 | 0.8021   |
| No log        | 49.0  | 343  | 0.7276          | 0.2035    | 0.38   | 0.2650 | 0.8042   |
| No log        | 50.0  | 350  | 0.7232          | 0.2104    | 0.3789 | 0.2705 | 0.8063   |
| No log        | 51.0  | 357  | 0.7502          | 0.2162    | 0.3911 | 0.2785 | 0.8007   |
| No log        | 52.0  | 364  | 0.7354          | 0.2216    | 0.3878 | 0.2820 | 0.8028   |
| No log        | 53.0  | 371  | 0.7204          | 0.2152    | 0.4056 | 0.2812 | 0.8048   |
| No log        | 54.0  | 378  | 0.7206          | 0.2224    | 0.4122 | 0.2889 | 0.8029   |
| No log        | 55.0  | 385  | 0.7219          | 0.2276    | 0.42   | 0.2952 | 0.8033   |
| No log        | 56.0  | 392  | 0.7377          | 0.2298    | 0.4022 | 0.2925 | 0.8021   |
| No log        | 57.0  | 399  | 0.7308          | 0.2266    | 0.4122 | 0.2925 | 0.8083   |
| No log        | 58.0  | 406  | 0.7468          | 0.2242    | 0.42   | 0.2923 | 0.8073   |
| No log        | 59.0  | 413  | 0.7348          | 0.24      | 0.4333 | 0.3089 | 0.8093   |
| No log        | 60.0  | 420  | 0.7540          | 0.2196    | 0.4322 | 0.2913 | 0.8040   |
| No log        | 61.0  | 427  | 0.7628          | 0.2325    | 0.4278 | 0.3013 | 0.8086   |
| No log        | 62.0  | 434  | 0.7531          | 0.2379    | 0.4467 | 0.3104 | 0.8098   |
| No log        | 63.0  | 441  | 0.7770          | 0.2424    | 0.4322 | 0.3106 | 0.8071   |
| No log        | 64.0  | 448  | 0.7573          | 0.2431    | 0.4433 | 0.3140 | 0.8115   |
| No log        | 65.0  | 455  | 0.7820          | 0.2279    | 0.4156 | 0.2944 | 0.8067   |
| No log        | 66.0  | 462  | 0.8081          | 0.2375    | 0.4322 | 0.3065 | 0.8063   |
| No log        | 67.0  | 469  | 0.7965          | 0.2426    | 0.4489 | 0.3150 | 0.8082   |
| No log        | 68.0  | 476  | 0.8123          | 0.2448    | 0.4456 | 0.3160 | 0.8054   |
| No log        | 69.0  | 483  | 0.7864          | 0.2455    | 0.4433 | 0.3160 | 0.8095   |
| No log        | 70.0  | 490  | 0.7793          | 0.2356    | 0.4511 | 0.3096 | 0.8128   |
| No log        | 71.0  | 497  | 0.7856          | 0.2460    | 0.4656 | 0.3219 | 0.8117   |
| 0.5219        | 72.0  | 504  | 0.8033          | 0.2387    | 0.4656 | 0.3156 | 0.8063   |
| 0.5219        | 73.0  | 511  | 0.7884          | 0.2478    | 0.4722 | 0.3250 | 0.8132   |
| 0.5219        | 74.0  | 518  | 0.7854          | 0.2466    | 0.4622 | 0.3216 | 0.8121   |
| 0.5219        | 75.0  | 525  | 0.7910          | 0.2492    | 0.4578 | 0.3228 | 0.8130   |
| 0.5219        | 76.0  | 532  | 0.8115          | 0.2491    | 0.47   | 0.3256 | 0.8115   |
| 0.5219        | 77.0  | 539  | 0.8232          | 0.2484    | 0.4667 | 0.3242 | 0.8098   |
| 0.5219        | 78.0  | 546  | 0.8207          | 0.2670    | 0.4767 | 0.3422 | 0.8100   |
| 0.5219        | 79.0  | 553  | 0.8512          | 0.2488    | 0.4656 | 0.3243 | 0.8067   |
| 0.5219        | 80.0  | 560  | 0.8159          | 0.2639    | 0.4689 | 0.3377 | 0.8118   |
| 0.5219        | 81.0  | 567  | 0.8069          | 0.2597    | 0.4767 | 0.3362 | 0.8119   |
| 0.5219        | 82.0  | 574  | 0.8056          | 0.2502    | 0.4611 | 0.3243 | 0.8113   |
| 0.5219        | 83.0  | 581  | 0.8204          | 0.2518    | 0.4744 | 0.3290 | 0.8107   |
| 0.5219        | 84.0  | 588  | 0.8038          | 0.2615    | 0.4689 | 0.3357 | 0.8129   |
| 0.5219        | 85.0  | 595  | 0.8099          | 0.2567    | 0.4789 | 0.3342 | 0.8141   |
| 0.5219        | 86.0  | 602  | 0.8144          | 0.2641    | 0.4733 | 0.3390 | 0.8179   |
| 0.5219        | 87.0  | 609  | 0.8239          | 0.2461    | 0.4711 | 0.3233 | 0.8159   |
| 0.5219        | 88.0  | 616  | 0.8362          | 0.2693    | 0.4767 | 0.3442 | 0.8179   |
| 0.5219        | 89.0  | 623  | 0.8307          | 0.2567    | 0.4689 | 0.3318 | 0.8113   |
| 0.5219        | 90.0  | 630  | 0.8271          | 0.2745    | 0.4856 | 0.3507 | 0.8161   |
| 0.5219        | 91.0  | 637  | 0.8346          | 0.2625    | 0.4678 | 0.3363 | 0.8162   |
| 0.5219        | 92.0  | 644  | 0.8413          | 0.2670    | 0.4678 | 0.3399 | 0.8138   |
| 0.5219        | 93.0  | 651  | 0.8598          | 0.2807    | 0.4778 | 0.3536 | 0.8170   |
| 0.5219        | 94.0  | 658  | 0.8791          | 0.2691    | 0.4689 | 0.3420 | 0.8153   |
| 0.5219        | 95.0  | 665  | 0.8683          | 0.2540    | 0.4767 | 0.3314 | 0.8087   |
| 0.5219        | 96.0  | 672  | 0.8682          | 0.2743    | 0.4889 | 0.3514 | 0.8168   |
| 0.5219        | 97.0  | 679  | 0.8869          | 0.2674    | 0.4867 | 0.3452 | 0.8128   |
| 0.5219        | 98.0  | 686  | 0.8428          | 0.2699    | 0.4833 | 0.3463 | 0.8163   |
| 0.5219        | 99.0  | 693  | 0.8541          | 0.2655    | 0.4711 | 0.3396 | 0.8136   |
| 0.5219        | 100.0 | 700  | 0.8719          | 0.2734    | 0.4778 | 0.3478 | 0.8190   |
| 0.5219        | 101.0 | 707  | 0.8876          | 0.2731    | 0.4767 | 0.3472 | 0.8170   |
| 0.5219        | 102.0 | 714  | 0.8698          | 0.2738    | 0.47   | 0.3460 | 0.8187   |
| 0.5219        | 103.0 | 721  | 0.8713          | 0.2804    | 0.4867 | 0.3558 | 0.8176   |
| 0.5219        | 104.0 | 728  | 0.8767          | 0.2787    | 0.4889 | 0.3550 | 0.8170   |
| 0.5219        | 105.0 | 735  | 0.8904          | 0.2750    | 0.4867 | 0.3514 | 0.8157   |
| 0.5219        | 106.0 | 742  | 0.8767          | 0.2850    | 0.4889 | 0.3601 | 0.8212   |
| 0.5219        | 107.0 | 749  | 0.8611          | 0.2776    | 0.4856 | 0.3533 | 0.8195   |
| 0.5219        | 108.0 | 756  | 0.8694          | 0.2660    | 0.4978 | 0.3467 | 0.8165   |
| 0.5219        | 109.0 | 763  | 0.8730          | 0.2834    | 0.49   | 0.3591 | 0.8190   |
| 0.5219        | 110.0 | 770  | 0.8742          | 0.2679    | 0.4733 | 0.3422 | 0.8177   |
| 0.5219        | 111.0 | 777  | 0.8642          | 0.2815    | 0.4844 | 0.3561 | 0.8208   |
| 0.5219        | 112.0 | 784  | 0.8700          | 0.2850    | 0.4978 | 0.3625 | 0.8194   |
| 0.5219        | 113.0 | 791  | 0.8861          | 0.2784    | 0.4978 | 0.3571 | 0.8170   |
| 0.5219        | 114.0 | 798  | 0.8764          | 0.2763    | 0.49   | 0.3534 | 0.8220   |
| 0.5219        | 115.0 | 805  | 0.8905          | 0.2853    | 0.4944 | 0.3618 | 0.8197   |
| 0.5219        | 116.0 | 812  | 0.9096          | 0.2871    | 0.4811 | 0.3596 | 0.8186   |
| 0.5219        | 117.0 | 819  | 0.9097          | 0.2750    | 0.4911 | 0.3526 | 0.8176   |
| 0.5219        | 118.0 | 826  | 0.8813          | 0.2929    | 0.4878 | 0.3660 | 0.8219   |
| 0.5219        | 119.0 | 833  | 0.8781          | 0.2883    | 0.4956 | 0.3645 | 0.8209   |
| 0.5219        | 120.0 | 840  | 0.8910          | 0.2928    | 0.5133 | 0.3729 | 0.8210   |
| 0.5219        | 121.0 | 847  | 0.8964          | 0.2883    | 0.5078 | 0.3678 | 0.8240   |
| 0.5219        | 122.0 | 854  | 0.9269          | 0.2893    | 0.5089 | 0.3689 | 0.8188   |
| 0.5219        | 123.0 | 861  | 0.9069          | 0.2879    | 0.4911 | 0.3630 | 0.8208   |
| 0.5219        | 124.0 | 868  | 0.8977          | 0.2983    | 0.4989 | 0.3734 | 0.8251   |
| 0.5219        | 125.0 | 875  | 0.8922          | 0.2814    | 0.4956 | 0.3590 | 0.8217   |
| 0.5219        | 126.0 | 882  | 0.9102          | 0.2822    | 0.4922 | 0.3587 | 0.8212   |
| 0.5219        | 127.0 | 889  | 0.9242          | 0.2916    | 0.51   | 0.3711 | 0.8210   |
| 0.5219        | 128.0 | 896  | 0.9239          | 0.2963    | 0.5044 | 0.3734 | 0.8209   |
| 0.5219        | 129.0 | 903  | 0.9205          | 0.2957    | 0.5011 | 0.3720 | 0.8214   |
| 0.5219        | 130.0 | 910  | 0.9336          | 0.3014    | 0.51   | 0.3789 | 0.8210   |
| 0.5219        | 131.0 | 917  | 0.9304          | 0.2962    | 0.5111 | 0.3751 | 0.8222   |
| 0.5219        | 132.0 | 924  | 0.9376          | 0.2898    | 0.4956 | 0.3657 | 0.8210   |
| 0.5219        | 133.0 | 931  | 0.9255          | 0.2901    | 0.5022 | 0.3678 | 0.8216   |
| 0.5219        | 134.0 | 938  | 0.9112          | 0.3       | 0.51   | 0.3778 | 0.8222   |
| 0.5219        | 135.0 | 945  | 0.9399          | 0.2963    | 0.5067 | 0.3739 | 0.8203   |
| 0.5219        | 136.0 | 952  | 0.9284          | 0.2959    | 0.51   | 0.3745 | 0.8211   |
| 0.5219        | 137.0 | 959  | 0.9366          | 0.2923    | 0.4989 | 0.3686 | 0.8223   |
| 0.5219        | 138.0 | 966  | 0.9344          | 0.2894    | 0.4956 | 0.3654 | 0.8212   |
| 0.5219        | 139.0 | 973  | 0.9423          | 0.3054    | 0.51   | 0.3820 | 0.8201   |
| 0.5219        | 140.0 | 980  | 0.9646          | 0.3009    | 0.4978 | 0.3751 | 0.8200   |
| 0.5219        | 141.0 | 987  | 0.9396          | 0.3030    | 0.51   | 0.3801 | 0.8228   |
| 0.5219        | 142.0 | 994  | 0.9367          | 0.2949    | 0.5089 | 0.3734 | 0.8219   |
| 0.0657        | 143.0 | 1001 | 0.9592          | 0.3076    | 0.4956 | 0.3796 | 0.8203   |
| 0.0657        | 144.0 | 1008 | 0.9598          | 0.2924    | 0.5033 | 0.3699 | 0.8190   |
| 0.0657        | 145.0 | 1015 | 0.9369          | 0.3198    | 0.5156 | 0.3947 | 0.8235   |
| 0.0657        | 146.0 | 1022 | 0.9509          | 0.3069    | 0.5122 | 0.3838 | 0.8232   |
| 0.0657        | 147.0 | 1029 | 0.9623          | 0.2867    | 0.5033 | 0.3653 | 0.8193   |
| 0.0657        | 148.0 | 1036 | 0.9718          | 0.2973    | 0.5011 | 0.3732 | 0.8185   |
| 0.0657        | 149.0 | 1043 | 0.9434          | 0.3045    | 0.5167 | 0.3832 | 0.8215   |
| 0.0657        | 150.0 | 1050 | 0.9627          | 0.2988    | 0.5067 | 0.3759 | 0.8215   |
| 0.0657        | 151.0 | 1057 | 0.9607          | 0.2969    | 0.5078 | 0.3747 | 0.8219   |
| 0.0657        | 152.0 | 1064 | 0.9498          | 0.3035    | 0.5122 | 0.3811 | 0.8220   |
| 0.0657        | 153.0 | 1071 | 0.9574          | 0.3094    | 0.5178 | 0.3874 | 0.8220   |
| 0.0657        | 154.0 | 1078 | 0.9547          | 0.3243    | 0.53   | 0.4024 | 0.8249   |
| 0.0657        | 155.0 | 1085 | 0.9891          | 0.3003    | 0.5044 | 0.3765 | 0.8205   |
| 0.0657        | 156.0 | 1092 | 0.9727          | 0.3018    | 0.5167 | 0.3810 | 0.8218   |
| 0.0657        | 157.0 | 1099 | 0.9646          | 0.3050    | 0.51   | 0.3817 | 0.8217   |
| 0.0657        | 158.0 | 1106 | 0.9610          | 0.2962    | 0.5144 | 0.3760 | 0.8205   |
| 0.0657        | 159.0 | 1113 | 0.9822          | 0.2965    | 0.5122 | 0.3756 | 0.8228   |
| 0.0657        | 160.0 | 1120 | 0.9624          | 0.3081    | 0.5156 | 0.3857 | 0.8228   |
| 0.0657        | 161.0 | 1127 | 0.9693          | 0.3067    | 0.5156 | 0.3846 | 0.8219   |
| 0.0657        | 162.0 | 1134 | 0.9714          | 0.2989    | 0.5078 | 0.3763 | 0.8217   |
| 0.0657        | 163.0 | 1141 | 0.9568          | 0.3122    | 0.5133 | 0.3882 | 0.8254   |
| 0.0657        | 164.0 | 1148 | 0.9919          | 0.3112    | 0.5211 | 0.3897 | 0.8236   |
| 0.0657        | 165.0 | 1155 | 0.9790          | 0.3095    | 0.5144 | 0.3865 | 0.8215   |
| 0.0657        | 166.0 | 1162 | 0.9739          | 0.31      | 0.5167 | 0.3875 | 0.8216   |
| 0.0657        | 167.0 | 1169 | 0.9832          | 0.2967    | 0.5167 | 0.3770 | 0.8202   |
| 0.0657        | 168.0 | 1176 | 0.9788          | 0.3096    | 0.5178 | 0.3875 | 0.8218   |
| 0.0657        | 169.0 | 1183 | 0.9765          | 0.2968    | 0.5078 | 0.3746 | 0.8199   |
| 0.0657        | 170.0 | 1190 | 0.9855          | 0.3023    | 0.5156 | 0.3811 | 0.8187   |
| 0.0657        | 171.0 | 1197 | 0.9797          | 0.3128    | 0.5189 | 0.3903 | 0.8252   |
| 0.0657        | 172.0 | 1204 | 0.9766          | 0.3079    | 0.5211 | 0.3871 | 0.8204   |
| 0.0657        | 173.0 | 1211 | 0.9693          | 0.3084    | 0.5167 | 0.3862 | 0.8234   |
| 0.0657        | 174.0 | 1218 | 0.9892          | 0.3076    | 0.5189 | 0.3863 | 0.8248   |
| 0.0657        | 175.0 | 1225 | 0.9850          | 0.3070    | 0.5133 | 0.3842 | 0.8223   |
| 0.0657        | 176.0 | 1232 | 0.9956          | 0.3158    | 0.5189 | 0.3926 | 0.8201   |
| 0.0657        | 177.0 | 1239 | 0.9919          | 0.3178    | 0.5156 | 0.3932 | 0.8213   |
| 0.0657        | 178.0 | 1246 | 1.0016          | 0.3069    | 0.5156 | 0.3847 | 0.8227   |
| 0.0657        | 179.0 | 1253 | 1.0104          | 0.2991    | 0.5111 | 0.3774 | 0.8197   |
| 0.0657        | 180.0 | 1260 | 0.9953          | 0.3103    | 0.5233 | 0.3896 | 0.8225   |
| 0.0657        | 181.0 | 1267 | 1.0140          | 0.2981    | 0.5144 | 0.3775 | 0.8184   |
| 0.0657        | 182.0 | 1274 | 0.9918          | 0.3074    | 0.5133 | 0.3845 | 0.8224   |
| 0.0657        | 183.0 | 1281 | 1.0138          | 0.3047    | 0.5122 | 0.3821 | 0.8215   |
| 0.0657        | 184.0 | 1288 | 0.9915          | 0.3070    | 0.5222 | 0.3867 | 0.8229   |
| 0.0657        | 185.0 | 1295 | 0.9954          | 0.2993    | 0.5111 | 0.3775 | 0.8213   |
| 0.0657        | 186.0 | 1302 | 1.0051          | 0.2922    | 0.4978 | 0.3683 | 0.8217   |
| 0.0657        | 187.0 | 1309 | 1.0040          | 0.3018    | 0.5178 | 0.3813 | 0.8235   |
| 0.0657        | 188.0 | 1316 | 1.0105          | 0.3165    | 0.5211 | 0.3938 | 0.8235   |
| 0.0657        | 189.0 | 1323 | 0.9985          | 0.3064    | 0.5233 | 0.3865 | 0.8213   |
| 0.0657        | 190.0 | 1330 | 1.0056          | 0.3054    | 0.5111 | 0.3824 | 0.8223   |
| 0.0657        | 191.0 | 1337 | 0.9902          | 0.3008    | 0.5133 | 0.3793 | 0.8222   |
| 0.0657        | 192.0 | 1344 | 1.0168          | 0.3003    | 0.5144 | 0.3792 | 0.8216   |
| 0.0657        | 193.0 | 1351 | 0.9967          | 0.3095    | 0.5144 | 0.3865 | 0.8222   |
| 0.0657        | 194.0 | 1358 | 1.0256          | 0.2988    | 0.5133 | 0.3778 | 0.8193   |
| 0.0657        | 195.0 | 1365 | 1.0031          | 0.2996    | 0.52   | 0.3802 | 0.8240   |
| 0.0657        | 196.0 | 1372 | 1.0174          | 0.3133    | 0.5167 | 0.3901 | 0.8243   |
| 0.0657        | 197.0 | 1379 | 1.0119          | 0.3091    | 0.5244 | 0.3890 | 0.8225   |
| 0.0657        | 198.0 | 1386 | 1.0050          | 0.3181    | 0.5189 | 0.3944 | 0.8248   |
| 0.0657        | 199.0 | 1393 | 1.0206          | 0.3026    | 0.5211 | 0.3829 | 0.8208   |
| 0.0657        | 200.0 | 1400 | 1.0157          | 0.3036    | 0.5111 | 0.3810 | 0.8221   |
| 0.0657        | 201.0 | 1407 | 1.0210          | 0.3040    | 0.5178 | 0.3831 | 0.8201   |
| 0.0657        | 202.0 | 1414 | 1.0225          | 0.3094    | 0.5167 | 0.3870 | 0.8218   |
| 0.0657        | 203.0 | 1421 | 1.0212          | 0.3095    | 0.5189 | 0.3877 | 0.8213   |
| 0.0657        | 204.0 | 1428 | 1.0247          | 0.3057    | 0.5167 | 0.3841 | 0.8208   |
| 0.0657        | 205.0 | 1435 | 1.0229          | 0.3037    | 0.5133 | 0.3817 | 0.8211   |
| 0.0657        | 206.0 | 1442 | 1.0188          | 0.3014    | 0.5178 | 0.3810 | 0.8215   |
| 0.0657        | 207.0 | 1449 | 1.0258          | 0.3065    | 0.5211 | 0.3860 | 0.8201   |
| 0.0657        | 208.0 | 1456 | 1.0339          | 0.3095    | 0.5156 | 0.3868 | 0.8210   |
| 0.0657        | 209.0 | 1463 | 1.0323          | 0.3105    | 0.5144 | 0.3873 | 0.8220   |
| 0.0657        | 210.0 | 1470 | 1.0317          | 0.3063    | 0.5167 | 0.3846 | 0.8221   |
| 0.0657        | 211.0 | 1477 | 1.0285          | 0.2981    | 0.52   | 0.3789 | 0.8206   |
| 0.0657        | 212.0 | 1484 | 1.0241          | 0.3098    | 0.5167 | 0.3873 | 0.8245   |
| 0.0657        | 213.0 | 1491 | 1.0311          | 0.3036    | 0.5211 | 0.3836 | 0.8226   |
| 0.0657        | 214.0 | 1498 | 1.0370          | 0.3005    | 0.5144 | 0.3794 | 0.8239   |
| 0.0235        | 215.0 | 1505 | 1.0228          | 0.3046    | 0.5222 | 0.3848 | 0.8218   |
| 0.0235        | 216.0 | 1512 | 1.0250          | 0.3099    | 0.52   | 0.3884 | 0.8231   |
| 0.0235        | 217.0 | 1519 | 1.0320          | 0.3124    | 0.52   | 0.3903 | 0.8216   |
| 0.0235        | 218.0 | 1526 | 1.0330          | 0.3059    | 0.5244 | 0.3864 | 0.8220   |
| 0.0235        | 219.0 | 1533 | 1.0475          | 0.3055    | 0.5122 | 0.3827 | 0.8201   |
| 0.0235        | 220.0 | 1540 | 1.0430          | 0.3092    | 0.5222 | 0.3884 | 0.8199   |
| 0.0235        | 221.0 | 1547 | 1.0283          | 0.3114    | 0.52   | 0.3895 | 0.8225   |
| 0.0235        | 222.0 | 1554 | 1.0338          | 0.2991    | 0.5244 | 0.3810 | 0.8227   |
| 0.0235        | 223.0 | 1561 | 1.0440          | 0.3002    | 0.5167 | 0.3797 | 0.8198   |
| 0.0235        | 224.0 | 1568 | 1.0311          | 0.3023    | 0.5156 | 0.3811 | 0.8215   |
| 0.0235        | 225.0 | 1575 | 1.0442          | 0.3094    | 0.5222 | 0.3886 | 0.8209   |
| 0.0235        | 226.0 | 1582 | 1.0439          | 0.3096    | 0.5222 | 0.3888 | 0.8193   |
| 0.0235        | 227.0 | 1589 | 1.0492          | 0.3015    | 0.5233 | 0.3826 | 0.8207   |
| 0.0235        | 228.0 | 1596 | 1.0434          | 0.3016    | 0.5167 | 0.3808 | 0.8212   |
| 0.0235        | 229.0 | 1603 | 1.0431          | 0.3019    | 0.5122 | 0.3799 | 0.8222   |
| 0.0235        | 230.0 | 1610 | 1.0516          | 0.3141    | 0.5189 | 0.3913 | 0.8226   |
| 0.0235        | 231.0 | 1617 | 1.0405          | 0.3097    | 0.5189 | 0.3879 | 0.8219   |
| 0.0235        | 232.0 | 1624 | 1.0383          | 0.3030    | 0.5178 | 0.3823 | 0.8223   |
| 0.0235        | 233.0 | 1631 | 1.0460          | 0.3128    | 0.5189 | 0.3903 | 0.8203   |
| 0.0235        | 234.0 | 1638 | 1.0370          | 0.3124    | 0.5244 | 0.3915 | 0.8245   |
| 0.0235        | 235.0 | 1645 | 1.0414          | 0.3019    | 0.5233 | 0.3829 | 0.8210   |
| 0.0235        | 236.0 | 1652 | 1.0528          | 0.2989    | 0.52   | 0.3796 | 0.8211   |
| 0.0235        | 237.0 | 1659 | 1.0547          | 0.3012    | 0.5144 | 0.3800 | 0.8227   |
| 0.0235        | 238.0 | 1666 | 1.0515          | 0.3181    | 0.5256 | 0.3963 | 0.8195   |
| 0.0235        | 239.0 | 1673 | 1.0456          | 0.3039    | 0.5156 | 0.3824 | 0.8248   |
| 0.0235        | 240.0 | 1680 | 1.0373          | 0.2996    | 0.5222 | 0.3807 | 0.8223   |
| 0.0235        | 241.0 | 1687 | 1.0379          | 0.3091    | 0.5189 | 0.3874 | 0.8241   |
| 0.0235        | 242.0 | 1694 | 1.0477          | 0.3077    | 0.52   | 0.3866 | 0.8202   |
| 0.0235        | 243.0 | 1701 | 1.0346          | 0.3116    | 0.5144 | 0.3881 | 0.8222   |
| 0.0235        | 244.0 | 1708 | 1.0500          | 0.3061    | 0.5211 | 0.3857 | 0.8206   |
| 0.0235        | 245.0 | 1715 | 1.0471          | 0.3093    | 0.5189 | 0.3876 | 0.8231   |
| 0.0235        | 246.0 | 1722 | 1.0390          | 0.3072    | 0.5178 | 0.3856 | 0.8241   |
| 0.0235        | 247.0 | 1729 | 1.0510          | 0.3022    | 0.5133 | 0.3804 | 0.8218   |
| 0.0235        | 248.0 | 1736 | 1.0556          | 0.3015    | 0.5156 | 0.3805 | 0.8195   |
| 0.0235        | 249.0 | 1743 | 1.0531          | 0.3100    | 0.5178 | 0.3878 | 0.8218   |
| 0.0235        | 250.0 | 1750 | 1.0507          | 0.3002    | 0.5167 | 0.3797 | 0.8226   |
| 0.0235        | 251.0 | 1757 | 1.0468          | 0.3077    | 0.52   | 0.3866 | 0.8232   |
| 0.0235        | 252.0 | 1764 | 1.0476          | 0.3097    | 0.5244 | 0.3894 | 0.8228   |
| 0.0235        | 253.0 | 1771 | 1.0596          | 0.3066    | 0.5178 | 0.3851 | 0.8218   |
| 0.0235        | 254.0 | 1778 | 1.0467          | 0.3077    | 0.5211 | 0.3870 | 0.8230   |
| 0.0235        | 255.0 | 1785 | 1.0417          | 0.3091    | 0.5189 | 0.3874 | 0.8239   |
| 0.0235        | 256.0 | 1792 | 1.0428          | 0.3062    | 0.5189 | 0.3852 | 0.8241   |
| 0.0235        | 257.0 | 1799 | 1.0555          | 0.3147    | 0.5178 | 0.3914 | 0.8251   |
| 0.0235        | 258.0 | 1806 | 1.0426          | 0.3176    | 0.5222 | 0.3950 | 0.8247   |
| 0.0235        | 259.0 | 1813 | 1.0482          | 0.3120    | 0.5211 | 0.3903 | 0.8214   |
| 0.0235        | 260.0 | 1820 | 1.0522          | 0.3085    | 0.52   | 0.3873 | 0.8231   |
| 0.0235        | 261.0 | 1827 | 1.0539          | 0.3048    | 0.5222 | 0.3849 | 0.8223   |
| 0.0235        | 262.0 | 1834 | 1.0511          | 0.3072    | 0.5222 | 0.3868 | 0.8224   |
| 0.0235        | 263.0 | 1841 | 1.0586          | 0.3093    | 0.52   | 0.3879 | 0.8228   |
| 0.0235        | 264.0 | 1848 | 1.0604          | 0.3098    | 0.5211 | 0.3886 | 0.8220   |
| 0.0235        | 265.0 | 1855 | 1.0549          | 0.3125    | 0.5267 | 0.3922 | 0.8223   |
| 0.0235        | 266.0 | 1862 | 1.0573          | 0.3092    | 0.5222 | 0.3884 | 0.8226   |
| 0.0235        | 267.0 | 1869 | 1.0589          | 0.3086    | 0.5178 | 0.3867 | 0.8221   |
| 0.0235        | 268.0 | 1876 | 1.0611          | 0.3064    | 0.5222 | 0.3862 | 0.8216   |
| 0.0235        | 269.0 | 1883 | 1.0623          | 0.3085    | 0.52   | 0.3873 | 0.8228   |
| 0.0235        | 270.0 | 1890 | 1.0591          | 0.3108    | 0.52   | 0.3890 | 0.8225   |
| 0.0235        | 271.0 | 1897 | 1.0571          | 0.3074    | 0.5222 | 0.3870 | 0.8213   |
| 0.0235        | 272.0 | 1904 | 1.0552          | 0.3071    | 0.52   | 0.3861 | 0.8207   |
| 0.0235        | 273.0 | 1911 | 1.0637          | 0.3037    | 0.52   | 0.3834 | 0.8207   |
| 0.0235        | 274.0 | 1918 | 1.0663          | 0.3022    | 0.5211 | 0.3825 | 0.8211   |
| 0.0235        | 275.0 | 1925 | 1.0577          | 0.2991    | 0.5178 | 0.3792 | 0.8216   |
| 0.0235        | 276.0 | 1932 | 1.0520          | 0.3047    | 0.5167 | 0.3833 | 0.8231   |
| 0.0235        | 277.0 | 1939 | 1.0552          | 0.3060    | 0.5178 | 0.3846 | 0.8232   |
| 0.0235        | 278.0 | 1946 | 1.0607          | 0.3036    | 0.5189 | 0.3831 | 0.8229   |
| 0.0235        | 279.0 | 1953 | 1.0592          | 0.3016    | 0.5211 | 0.3821 | 0.8218   |
| 0.0235        | 280.0 | 1960 | 1.0595          | 0.2990    | 0.5189 | 0.3794 | 0.8231   |
| 0.0235        | 281.0 | 1967 | 1.0615          | 0.3046    | 0.5178 | 0.3835 | 0.8213   |
| 0.0235        | 282.0 | 1974 | 1.0585          | 0.3034    | 0.5189 | 0.3829 | 0.8207   |
| 0.0235        | 283.0 | 1981 | 1.0577          | 0.3051    | 0.5167 | 0.3837 | 0.8220   |
| 0.0235        | 284.0 | 1988 | 1.0631          | 0.3108    | 0.52   | 0.3890 | 0.8225   |
| 0.0235        | 285.0 | 1995 | 1.0631          | 0.3091    | 0.52   | 0.3877 | 0.8213   |
| 0.0144        | 286.0 | 2002 | 1.0593          | 0.3067    | 0.5167 | 0.3849 | 0.8204   |
| 0.0144        | 287.0 | 2009 | 1.0559          | 0.3100    | 0.5178 | 0.3878 | 0.8209   |
| 0.0144        | 288.0 | 2016 | 1.0553          | 0.3060    | 0.5178 | 0.3846 | 0.8218   |
| 0.0144        | 289.0 | 2023 | 1.0558          | 0.3035    | 0.52   | 0.3833 | 0.8225   |
| 0.0144        | 290.0 | 2030 | 1.0593          | 0.3001    | 0.5178 | 0.3799 | 0.8220   |
| 0.0144        | 291.0 | 2037 | 1.0605          | 0.3031    | 0.52   | 0.3830 | 0.8220   |
| 0.0144        | 292.0 | 2044 | 1.0617          | 0.3051    | 0.5211 | 0.3849 | 0.8224   |
| 0.0144        | 293.0 | 2051 | 1.0606          | 0.3029    | 0.5189 | 0.3825 | 0.8220   |
| 0.0144        | 294.0 | 2058 | 1.0589          | 0.3001    | 0.5178 | 0.3799 | 0.8220   |
| 0.0144        | 295.0 | 2065 | 1.0585          | 0.3028    | 0.5178 | 0.3821 | 0.8224   |
| 0.0144        | 296.0 | 2072 | 1.0589          | 0.3061    | 0.52   | 0.3853 | 0.8226   |
| 0.0144        | 297.0 | 2079 | 1.0582          | 0.3060    | 0.5189 | 0.3850 | 0.8228   |
| 0.0144        | 298.0 | 2086 | 1.0582          | 0.3058    | 0.5189 | 0.3848 | 0.8226   |
| 0.0144        | 299.0 | 2093 | 1.0583          | 0.3056    | 0.5189 | 0.3847 | 0.8225   |
| 0.0144        | 300.0 | 2100 | 1.0583          | 0.3056    | 0.5189 | 0.3847 | 0.8225   |


### 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", "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
=======


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


* Loss: 1.0583
* Precision: 0.3056
* Recall: 0.5189
* F1: 0.3847
* Accuracy: 0.8225


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