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twitter-roberta-large-hate-latest-offensive-eval-kn

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roberta
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-large-hate-latest](https://huggingface.co/cardiffnlp/twitter-roberta-large-hate-latest) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7861
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- - Accuracy: 0.7427
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- - Precision: 0.4604
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- - Recall: 0.3928
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- - F1: 0.3901
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  ## Model description
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@@ -52,17 +52,22 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.8805 | 0.9968 | 157 | 0.8450 | 0.7339 | 0.3531 | 0.3488 | 0.3407 |
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- | 0.7579 | 2.0 | 315 | 0.7816 | 0.7607 | 0.5057 | 0.4154 | 0.4200 |
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- | 0.7177 | 2.9968 | 472 | 0.7848 | 0.7571 | 0.4702 | 0.4043 | 0.4209 |
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- | 0.6914 | 4.0 | 630 | 0.8011 | 0.7446 | 0.4242 | 0.4029 | 0.4077 |
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- | 0.5218 | 4.9841 | 785 | 0.8166 | 0.7429 | 0.4122 | 0.4146 | 0.4115 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-large-hate-latest](https://huggingface.co/cardiffnlp/twitter-roberta-large-hate-latest) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8543
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+ - Accuracy: 0.7391
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+ - Precision: 0.4215
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+ - Recall: 0.3968
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+ - F1: 0.4020
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  ## Model description
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.9082 | 0.9968 | 157 | 0.8529 | 0.7286 | 0.3746 | 0.3354 | 0.3312 |
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+ | 0.7593 | 2.0 | 315 | 0.7818 | 0.7393 | 0.5160 | 0.3778 | 0.3767 |
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+ | 0.7264 | 2.9968 | 472 | 0.7640 | 0.7464 | 0.4450 | 0.3812 | 0.3861 |
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+ | 0.6998 | 4.0 | 630 | 0.7941 | 0.7464 | 0.4461 | 0.4106 | 0.4218 |
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+ | 0.5066 | 4.9968 | 787 | 0.8636 | 0.7518 | 0.4668 | 0.4156 | 0.4276 |
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+ | 0.5164 | 6.0 | 945 | 0.8747 | 0.7482 | 0.4391 | 0.4342 | 0.4342 |
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+ | 0.4098 | 6.9968 | 1102 | 0.9078 | 0.7446 | 0.4366 | 0.4324 | 0.4334 |
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+ | 0.3556 | 8.0 | 1260 | 0.9286 | 0.7393 | 0.4279 | 0.4304 | 0.4282 |
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+ | 0.3974 | 8.9968 | 1417 | 0.9444 | 0.7446 | 0.4434 | 0.4406 | 0.4411 |
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+ | 0.318 | 9.9683 | 1570 | 0.9597 | 0.7411 | 0.4352 | 0.4370 | 0.4352 |
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  ### Framework versions
model.safetensors CHANGED
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