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franac1
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hate_speech

Text Classification
Transformers
Safetensors
electra
Generated from Trainer
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End of training

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  1. README.md +23 -27
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: transformers
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- license: apache-2.0
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- base_model: classla/bcms-bertic
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -19,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # hate_speech
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- This model is a fine-tuned version of [classla/bcms-bertic](https://huggingface.co/classla/bcms-bertic) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5390
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- - Accuracy: 0.7669
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- - Auc Score: 0.8334
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- - F1: 0.6965
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- - Precision: 0.6768
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- - Recall: 0.7174
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  ## Model description
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@@ -57,24 +55,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc Score | F1 | Precision | Recall |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:---------:|:------:|
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- | 0.643 | 0.1616 | 100 | 0.6137 | 0.6403 | 0.7142 | 0.1180 | 0.6885 | 0.0645 |
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- | 0.6015 | 0.3231 | 200 | 0.5704 | 0.6861 | 0.7557 | 0.6257 | 0.5633 | 0.7035 |
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- | 0.5784 | 0.4847 | 300 | 0.5420 | 0.7153 | 0.7807 | 0.5667 | 0.6552 | 0.4992 |
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- | 0.5545 | 0.6462 | 400 | 0.5177 | 0.7394 | 0.8052 | 0.5991 | 0.7025 | 0.5223 |
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- | 0.5328 | 0.8078 | 500 | 0.5342 | 0.7194 | 0.8100 | 0.6729 | 0.5950 | 0.7742 |
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- | 0.5524 | 0.9693 | 600 | 0.5678 | 0.6976 | 0.8124 | 0.6796 | 0.5617 | 0.8602 |
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- | 0.4563 | 1.1309 | 700 | 0.5280 | 0.7423 | 0.8101 | 0.6596 | 0.6498 | 0.6697 |
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- | 0.4425 | 1.2924 | 800 | 0.5082 | 0.7549 | 0.8202 | 0.6480 | 0.6973 | 0.6052 |
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- | 0.4436 | 1.4540 | 900 | 0.5129 | 0.7537 | 0.8250 | 0.6356 | 0.7089 | 0.5760 |
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- | 0.42 | 1.6155 | 1000 | 0.5073 | 0.7635 | 0.8242 | 0.6656 | 0.7038 | 0.6313 |
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- | 0.426 | 1.7771 | 1100 | 0.5008 | 0.7635 | 0.8276 | 0.6816 | 0.6842 | 0.6790 |
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- | 0.4425 | 1.9386 | 1200 | 0.5007 | 0.7646 | 0.8337 | 0.6940 | 0.6734 | 0.7158 |
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- | 0.3873 | 2.1002 | 1300 | 0.5566 | 0.7646 | 0.8377 | 0.7028 | 0.6639 | 0.7465 |
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- | 0.306 | 2.2617 | 1400 | 0.5551 | 0.7600 | 0.8343 | 0.6939 | 0.6616 | 0.7296 |
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- | 0.3297 | 2.4233 | 1500 | 0.5707 | 0.7726 | 0.8309 | 0.6700 | 0.7301 | 0.6190 |
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- | 0.3335 | 2.5848 | 1600 | 0.5412 | 0.7686 | 0.8338 | 0.6878 | 0.6921 | 0.6836 |
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- | 0.3149 | 2.7464 | 1700 | 0.5438 | 0.7692 | 0.8338 | 0.6864 | 0.6956 | 0.6774 |
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- | 0.3577 | 2.9079 | 1800 | 0.5390 | 0.7669 | 0.8334 | 0.6965 | 0.6768 | 0.7174 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # hate_speech
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6154
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+ - Accuracy: 0.7362
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+ - Auc Score: 0.8016
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+ - F1: 0.7714
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+ - Precision: 0.7557
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+ - Recall: 0.7878
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc Score | F1 | Precision | Recall |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:---------:|:------:|
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+ | 0.6869 | 0.1845 | 100 | 0.6557 | 0.6338 | 0.6812 | 0.7327 | 0.6235 | 0.8882 |
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+ | 0.655 | 0.3690 | 200 | 0.6146 | 0.6527 | 0.7396 | 0.6440 | 0.7652 | 0.5559 |
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+ | 0.6269 | 0.5535 | 300 | 0.5991 | 0.6850 | 0.7517 | 0.7065 | 0.7459 | 0.6710 |
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+ | 0.6089 | 0.7380 | 400 | 0.6444 | 0.6485 | 0.7632 | 0.6182 | 0.8003 | 0.5037 |
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+ | 0.5962 | 0.9225 | 500 | 0.6072 | 0.6827 | 0.7764 | 0.7673 | 0.6551 | 0.9257 |
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+ | 0.5633 | 1.1070 | 600 | 0.5957 | 0.6960 | 0.7767 | 0.7685 | 0.6745 | 0.8931 |
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+ | 0.5067 | 1.2915 | 700 | 0.6133 | 0.7196 | 0.7900 | 0.7778 | 0.7042 | 0.8686 |
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+ | 0.505 | 1.4760 | 800 | 0.5766 | 0.7076 | 0.7703 | 0.7414 | 0.7408 | 0.7420 |
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+ | 0.5115 | 1.6605 | 900 | 0.5415 | 0.7348 | 0.8011 | 0.7823 | 0.7295 | 0.8433 |
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+ | 0.5027 | 1.8450 | 1000 | 0.5837 | 0.7163 | 0.7949 | 0.7755 | 0.7015 | 0.8669 |
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+ | 0.4695 | 2.0295 | 1100 | 0.5699 | 0.7173 | 0.7889 | 0.7686 | 0.7149 | 0.8310 |
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+ | 0.4032 | 2.2140 | 1200 | 0.6357 | 0.7145 | 0.7865 | 0.7718 | 0.7036 | 0.8547 |
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+ | 0.3833 | 2.3985 | 1300 | 0.6236 | 0.7292 | 0.8014 | 0.7697 | 0.7409 | 0.8008 |
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+ | 0.3924 | 2.5830 | 1400 | 0.6533 | 0.7103 | 0.7970 | 0.7784 | 0.6855 | 0.9004 |
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+ | 0.3673 | 2.7675 | 1500 | 0.6303 | 0.7260 | 0.8004 | 0.7729 | 0.7268 | 0.8253 |
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+ | 0.3749 | 2.9520 | 1600 | 0.6154 | 0.7362 | 0.8016 | 0.7714 | 0.7557 | 0.7878 |
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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