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franac1
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hate_speech

Text Classification
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Safetensors
electra
Generated from Trainer
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End of training

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  1. README.md +26 -25
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,7 @@
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  ---
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  library_name: transformers
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- base_model: franac1/mlm_hate
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,14 +19,14 @@ 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 [franac1/mlm_hate](https://huggingface.co/franac1/mlm_hate) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6490
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- - Accuracy: 0.7294
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- - Auc Score: 0.7950
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- - F1: 0.7694
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- - Precision: 0.7318
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- - Recall: 0.8110
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  ## Model description
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@@ -56,23 +57,23 @@ 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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- | 0.7015 | 0.1736 | 100 | 0.6727 | 0.6095 | 0.6569 | 0.6584 | 0.6415 | 0.6762 |
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- | 0.6507 | 0.3472 | 200 | 0.6320 | 0.6476 | 0.7127 | 0.7422 | 0.6259 | 0.9116 |
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- | 0.6477 | 0.5208 | 300 | 0.6226 | 0.6667 | 0.7306 | 0.7067 | 0.6925 | 0.7215 |
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- | 0.6693 | 0.6944 | 400 | 0.6237 | 0.6753 | 0.7412 | 0.7230 | 0.6883 | 0.7613 |
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- | 0.5823 | 0.8681 | 500 | 0.5898 | 0.6796 | 0.7597 | 0.7479 | 0.6652 | 0.8541 |
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- | 0.5678 | 1.0417 | 600 | 0.6616 | 0.6876 | 0.7775 | 0.7581 | 0.6661 | 0.8796 |
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- | 0.4947 | 1.2153 | 700 | 0.6208 | 0.7054 | 0.7812 | 0.7113 | 0.7825 | 0.6519 |
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- | 0.5419 | 1.3889 | 800 | 0.6291 | 0.6728 | 0.7815 | 0.7616 | 0.6405 | 0.9392 |
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- | 0.4772 | 1.5625 | 900 | 0.6225 | 0.7060 | 0.7863 | 0.7677 | 0.6852 | 0.8729 |
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- | 0.485 | 1.7361 | 1000 | 0.5864 | 0.7263 | 0.7969 | 0.7570 | 0.7484 | 0.7657 |
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- | 0.48 | 1.9097 | 1100 | 0.5785 | 0.7220 | 0.7943 | 0.7738 | 0.7072 | 0.8541 |
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- | 0.4273 | 2.0833 | 1200 | 0.6733 | 0.7165 | 0.7853 | 0.7696 | 0.7026 | 0.8508 |
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- | 0.3691 | 2.2569 | 1300 | 0.6891 | 0.7122 | 0.7942 | 0.7685 | 0.6956 | 0.8586 |
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- | 0.3806 | 2.4306 | 1400 | 0.6315 | 0.7171 | 0.7908 | 0.7459 | 0.7459 | 0.7459 |
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- | 0.3762 | 2.6042 | 1500 | 0.6407 | 0.7183 | 0.7913 | 0.7677 | 0.7095 | 0.8365 |
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- | 0.3665 | 2.7778 | 1600 | 0.6385 | 0.7263 | 0.7919 | 0.7639 | 0.7347 | 0.7956 |
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- | 0.3496 | 2.9514 | 1700 | 0.6490 | 0.7294 | 0.7950 | 0.7694 | 0.7318 | 0.8110 |
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  ### Framework versions
 
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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:
 
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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: 0.6168
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+ - Accuracy: 0.7829
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+ - Auc Score: 0.8669
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+ - F1: 0.8083
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+ - Precision: 0.7949
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+ - Recall: 0.8221
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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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+ | 0.6346 | 0.1736 | 100 | 0.5729 | 0.7036 | 0.8184 | 0.7729 | 0.6738 | 0.9061 |
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+ | 0.5153 | 0.3472 | 200 | 0.5228 | 0.7522 | 0.8334 | 0.7893 | 0.7490 | 0.8343 |
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+ | 0.524 | 0.5208 | 300 | 0.6139 | 0.7239 | 0.8494 | 0.7918 | 0.6821 | 0.9436 |
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+ | 0.5021 | 0.6944 | 400 | 0.4913 | 0.7675 | 0.8467 | 0.7946 | 0.7818 | 0.8077 |
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+ | 0.4612 | 0.8681 | 500 | 0.5028 | 0.7601 | 0.8612 | 0.8038 | 0.7378 | 0.8829 |
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+ | 0.4288 | 1.0417 | 600 | 0.4997 | 0.7804 | 0.8603 | 0.8080 | 0.7872 | 0.8298 |
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+ | 0.3585 | 1.2153 | 700 | 0.5485 | 0.7700 | 0.8600 | 0.8038 | 0.7652 | 0.8464 |
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+ | 0.4089 | 1.3889 | 800 | 0.4786 | 0.7860 | 0.8626 | 0.8077 | 0.8077 | 0.8077 |
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+ | 0.3785 | 1.5625 | 900 | 0.4961 | 0.7749 | 0.8630 | 0.7832 | 0.8442 | 0.7304 |
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+ | 0.3513 | 1.7361 | 1000 | 0.5348 | 0.7780 | 0.8647 | 0.8064 | 0.7833 | 0.8309 |
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+ | 0.3674 | 1.9097 | 1100 | 0.4934 | 0.7823 | 0.8674 | 0.8007 | 0.8163 | 0.7856 |
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+ | 0.2826 | 2.0833 | 1200 | 0.5916 | 0.7792 | 0.8680 | 0.8106 | 0.7758 | 0.8486 |
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+ | 0.2445 | 2.2569 | 1300 | 0.6143 | 0.7706 | 0.8648 | 0.8058 | 0.7618 | 0.8552 |
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+ | 0.247 | 2.4306 | 1400 | 0.5840 | 0.7811 | 0.8630 | 0.8069 | 0.7923 | 0.8221 |
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+ | 0.2443 | 2.6042 | 1500 | 0.5923 | 0.7872 | 0.8676 | 0.8054 | 0.8202 | 0.7912 |
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+ | 0.2512 | 2.7778 | 1600 | 0.5986 | 0.7860 | 0.8674 | 0.8032 | 0.8227 | 0.7845 |
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+ | 0.2119 | 2.9514 | 1700 | 0.6168 | 0.7829 | 0.8669 | 0.8083 | 0.7949 | 0.8221 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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