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DayCardoso
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bert-seq-class-values-no-context

Text Classification
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Safetensors
bert
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text-embeddings-inference
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3960
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- - Subset Accuracy: 0.3047
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- - F1 Macro: 0.3430
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- - F1 Micro: 0.4073
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- - Precision Macro: 0.3609
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- - Recall Macro: 0.3304
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- - Roc Auc: 0.7914
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  ## Model description
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@@ -57,40 +57,32 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Subset Accuracy | F1 Macro | F1 Micro | Precision Macro | Recall Macro | Roc Auc |
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  |:-------------:|:-------:|:-----:|:---------------:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:-------:|
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- | 0.4117 | 0.5002 | 767 | 0.2112 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6381 |
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- | 0.1905 | 1.0 | 1534 | 0.1792 | 0.0696 | 0.0475 | 0.1275 | 0.1803 | 0.0303 | 0.7750 |
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- | 0.1716 | 1.5002 | 2301 | 0.1687 | 0.1532 | 0.1252 | 0.2519 | 0.3027 | 0.0962 | 0.8048 |
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- | 0.1619 | 2.0 | 3068 | 0.1644 | 0.1989 | 0.1771 | 0.3019 | 0.3561 | 0.1341 | 0.8267 |
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- | 0.1395 | 2.5002 | 3835 | 0.1669 | 0.2553 | 0.2407 | 0.3649 | 0.4672 | 0.1917 | 0.8283 |
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- | 0.1334 | 3.0 | 4602 | 0.1634 | 0.2505 | 0.2582 | 0.3545 | 0.4557 | 0.2006 | 0.8352 |
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- | 0.1032 | 3.5002 | 5369 | 0.1803 | 0.3041 | 0.3093 | 0.3938 | 0.4053 | 0.2615 | 0.8262 |
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- | 0.0958 | 4.0 | 6136 | 0.1826 | 0.3129 | 0.3013 | 0.3989 | 0.4117 | 0.2628 | 0.8277 |
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- | 0.0733 | 4.5002 | 6903 | 0.2074 | 0.3161 | 0.3140 | 0.4001 | 0.3970 | 0.2831 | 0.8149 |
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- | 0.0655 | 5.0 | 7670 | 0.2097 | 0.3098 | 0.3195 | 0.3967 | 0.3947 | 0.2824 | 0.8152 |
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- | 0.0536 | 5.5002 | 8437 | 0.2252 | 0.3046 | 0.3281 | 0.3961 | 0.3764 | 0.3032 | 0.8099 |
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- | 0.0462 | 6.0 | 9204 | 0.2318 | 0.3045 | 0.3260 | 0.3931 | 0.3620 | 0.3040 | 0.8071 |
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- | 0.0398 | 6.5002 | 9971 | 0.2453 | 0.3076 | 0.3266 | 0.3892 | 0.3845 | 0.2963 | 0.8074 |
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- | 0.0345 | 7.0 | 10738 | 0.2548 | 0.2984 | 0.3262 | 0.3891 | 0.3547 | 0.3115 | 0.8027 |
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- | 0.0249 | 7.5002 | 11505 | 0.2640 | 0.2958 | 0.3350 | 0.3964 | 0.3611 | 0.3235 | 0.7998 |
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- | 0.0251 | 8.0 | 12272 | 0.2687 | 0.3071 | 0.3281 | 0.4027 | 0.3745 | 0.3050 | 0.7992 |
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- | 0.0183 | 8.5002 | 13039 | 0.2850 | 0.2839 | 0.3276 | 0.3810 | 0.3673 | 0.3192 | 0.8005 |
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- | 0.019 | 9.0 | 13806 | 0.2879 | 0.3023 | 0.3316 | 0.3910 | 0.3708 | 0.3093 | 0.7972 |
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- | 0.0141 | 9.5002 | 14573 | 0.3012 | 0.2963 | 0.3357 | 0.4016 | 0.3442 | 0.3339 | 0.7961 |
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- | 0.0136 | 10.0 | 15340 | 0.3050 | 0.3053 | 0.3329 | 0.4001 | 0.3667 | 0.3111 | 0.7969 |
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- | 0.0098 | 10.5002 | 16107 | 0.3157 | 0.2940 | 0.3387 | 0.4071 | 0.3415 | 0.3431 | 0.7964 |
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- | 0.0099 | 11.0 | 16874 | 0.3252 | 0.2855 | 0.3409 | 0.4005 | 0.3394 | 0.3500 | 0.7948 |
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- | 0.0072 | 11.5002 | 17641 | 0.3294 | 0.2874 | 0.3371 | 0.3998 | 0.3582 | 0.3333 | 0.7977 |
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- | 0.0071 | 12.0 | 18408 | 0.3379 | 0.2931 | 0.3351 | 0.3931 | 0.3699 | 0.3146 | 0.7926 |
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- | 0.0051 | 12.5002 | 19175 | 0.3494 | 0.2919 | 0.3308 | 0.3975 | 0.3600 | 0.3168 | 0.7926 |
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- | 0.0047 | 13.0 | 19942 | 0.3546 | 0.2888 | 0.3387 | 0.3925 | 0.3604 | 0.3240 | 0.7911 |
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- | 0.0039 | 13.5002 | 20709 | 0.3598 | 0.2977 | 0.3415 | 0.4025 | 0.3681 | 0.3291 | 0.7955 |
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- | 0.0036 | 14.0 | 21476 | 0.3600 | 0.2993 | 0.3419 | 0.4061 | 0.3644 | 0.3282 | 0.7902 |
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- | 0.0025 | 14.5002 | 22243 | 0.3717 | 0.3023 | 0.3465 | 0.4098 | 0.3655 | 0.3327 | 0.7904 |
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- | 0.003 | 15.0 | 23010 | 0.3783 | 0.3030 | 0.3373 | 0.3982 | 0.3687 | 0.3141 | 0.7914 |
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- | 0.002 | 15.5002 | 23777 | 0.3835 | 0.3011 | 0.3317 | 0.3985 | 0.3687 | 0.3089 | 0.7906 |
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- | 0.0016 | 16.0 | 24544 | 0.3909 | 0.3099 | 0.3430 | 0.4099 | 0.3712 | 0.3232 | 0.7894 |
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- | 0.0016 | 16.5002 | 25311 | 0.3900 | 0.2987 | 0.3449 | 0.4073 | 0.3616 | 0.3352 | 0.7935 |
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- | 0.0013 | 17.0 | 26078 | 0.3960 | 0.3047 | 0.3430 | 0.4073 | 0.3609 | 0.3304 | 0.7914 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3514
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+ - Subset Accuracy: 0.2902
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+ - F1 Macro: 0.3370
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+ - F1 Micro: 0.3898
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+ - Precision Macro: 0.3762
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+ - Recall Macro: 0.3140
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+ - Roc Auc: 0.7933
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Subset Accuracy | F1 Macro | F1 Micro | Precision Macro | Recall Macro | Roc Auc |
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  |:-------------:|:-------:|:-----:|:---------------:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:-------:|
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+ | 0.4274 | 0.5002 | 767 | 0.2090 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6092 |
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+ | 0.1875 | 1.0 | 1534 | 0.1773 | 0.0816 | 0.0680 | 0.1479 | 0.2599 | 0.0476 | 0.7795 |
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+ | 0.1682 | 1.5002 | 2301 | 0.1681 | 0.1630 | 0.1275 | 0.2611 | 0.2788 | 0.1014 | 0.8039 |
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+ | 0.161 | 2.0 | 3068 | 0.1631 | 0.2076 | 0.1940 | 0.3133 | 0.4626 | 0.1538 | 0.8256 |
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+ | 0.1379 | 2.5002 | 3835 | 0.1674 | 0.2572 | 0.2415 | 0.3613 | 0.4434 | 0.1922 | 0.8235 |
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+ | 0.1323 | 3.0 | 4602 | 0.1634 | 0.2604 | 0.2566 | 0.3641 | 0.4828 | 0.1999 | 0.8349 |
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+ | 0.1032 | 3.5002 | 5369 | 0.1855 | 0.2953 | 0.2878 | 0.3803 | 0.3958 | 0.2422 | 0.8211 |
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+ | 0.0961 | 4.0 | 6136 | 0.1858 | 0.3151 | 0.3092 | 0.4045 | 0.4284 | 0.2670 | 0.8231 |
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+ | 0.0737 | 4.5002 | 6903 | 0.2082 | 0.3121 | 0.3140 | 0.3941 | 0.3975 | 0.2748 | 0.8120 |
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+ | 0.0651 | 5.0 | 7670 | 0.2108 | 0.3082 | 0.2990 | 0.3935 | 0.4146 | 0.2605 | 0.8106 |
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+ | 0.0541 | 5.5002 | 8437 | 0.2241 | 0.2995 | 0.3174 | 0.3851 | 0.3851 | 0.2861 | 0.8055 |
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+ | 0.0465 | 6.0 | 9204 | 0.2386 | 0.3039 | 0.3123 | 0.3871 | 0.3757 | 0.2779 | 0.8026 |
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+ | 0.0399 | 6.5002 | 9971 | 0.2458 | 0.3020 | 0.3240 | 0.3894 | 0.3745 | 0.2979 | 0.8032 |
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+ | 0.0345 | 7.0 | 10738 | 0.2539 | 0.3078 | 0.3288 | 0.4012 | 0.3615 | 0.3105 | 0.8039 |
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+ | 0.0251 | 7.5002 | 11505 | 0.2663 | 0.2951 | 0.3301 | 0.3912 | 0.3619 | 0.3140 | 0.7993 |
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+ | 0.0254 | 8.0 | 12272 | 0.2737 | 0.2944 | 0.3322 | 0.3920 | 0.3709 | 0.3109 | 0.7998 |
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+ | 0.0189 | 8.5002 | 13039 | 0.2791 | 0.2844 | 0.3388 | 0.3984 | 0.3574 | 0.3310 | 0.8029 |
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+ | 0.0195 | 9.0 | 13806 | 0.2838 | 0.2913 | 0.3273 | 0.3896 | 0.3615 | 0.3064 | 0.7989 |
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+ | 0.014 | 9.5002 | 14573 | 0.3037 | 0.2925 | 0.3336 | 0.3987 | 0.3680 | 0.3201 | 0.7971 |
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+ | 0.0139 | 10.0 | 15340 | 0.3015 | 0.2903 | 0.3401 | 0.3979 | 0.3648 | 0.3239 | 0.7950 |
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+ | 0.0101 | 10.5002 | 16107 | 0.3192 | 0.2846 | 0.3428 | 0.4032 | 0.3598 | 0.3409 | 0.7934 |
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+ | 0.0103 | 11.0 | 16874 | 0.3257 | 0.2866 | 0.3376 | 0.3989 | 0.3566 | 0.3274 | 0.7928 |
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+ | 0.0073 | 11.5002 | 17641 | 0.3275 | 0.3004 | 0.3334 | 0.4008 | 0.3828 | 0.3077 | 0.7941 |
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+ | 0.0074 | 12.0 | 18408 | 0.3378 | 0.2868 | 0.3361 | 0.3999 | 0.3646 | 0.3217 | 0.7911 |
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+ | 0.0056 | 12.5002 | 19175 | 0.3424 | 0.3010 | 0.3419 | 0.4036 | 0.3733 | 0.3215 | 0.7926 |
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+ | 0.0052 | 13.0 | 19942 | 0.3514 | 0.2902 | 0.3370 | 0.3898 | 0.3762 | 0.3140 | 0.7933 |
 
 
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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