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twitter-roberta-large-hate-latest-abusive-comments-ta

Text Classification
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Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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End of training

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  2. model.safetensors +1 -1
README.md CHANGED
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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: 1.0516
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- - Accuracy: 0.7327
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- - Precision: 0.5326
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- - Recall: 0.4589
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- - F1: 0.4866
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 128
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.0819 | 1.0 | 186 | 1.0432 | 0.7050 | 0.3297 | 0.2560 | 0.2630 |
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- | 0.9199 | 2.0 | 372 | 0.9235 | 0.7218 | 0.4433 | 0.2857 | 0.2984 |
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- | 0.7445 | 3.0 | 558 | 0.8774 | 0.7406 | 0.5175 | 0.3770 | 0.3963 |
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- | 0.5989 | 4.0 | 744 | 0.8769 | 0.7345 | 0.5243 | 0.4259 | 0.4421 |
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- | 0.6607 | 5.0 | 930 | 0.8740 | 0.7453 | 0.5832 | 0.4704 | 0.5019 |
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- | 0.5442 | 6.0 | 1116 | 0.9491 | 0.7386 | 0.5579 | 0.4547 | 0.4761 |
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- | 0.4604 | 7.0 | 1302 | 0.9842 | 0.7426 | 0.5454 | 0.4648 | 0.4926 |
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- | 0.4007 | 8.0 | 1488 | 1.0184 | 0.75 | 0.5648 | 0.4684 | 0.5056 |
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- | 0.2618 | 9.0 | 1674 | 1.0644 | 0.7372 | 0.5379 | 0.4908 | 0.5100 |
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- | 0.3145 | 10.0 | 1860 | 1.0734 | 0.7386 | 0.5246 | 0.4929 | 0.5070 |
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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: 0.8852
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+ - Accuracy: 0.7283
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+ - Precision: 0.5073
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+ - Recall: 0.3724
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+ - F1: 0.3960
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 128
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.1012 | 1.0 | 186 | 1.0154 | 0.7177 | 0.3787 | 0.3191 | 0.3198 |
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+ | 0.9155 | 2.0 | 372 | 0.9336 | 0.7204 | 0.4450 | 0.3350 | 0.3497 |
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+ | 0.7858 | 3.0 | 558 | 0.9033 | 0.7419 | 0.4941 | 0.3805 | 0.4130 |
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+ | 0.5357 | 4.0 | 744 | 0.9495 | 0.7245 | 0.4971 | 0.4223 | 0.4381 |
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+ | 0.5788 | 5.0 | 930 | 0.9960 | 0.7083 | 0.4491 | 0.4524 | 0.4408 |
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+ | 0.3806 | 6.0 | 1116 | 1.1853 | 0.7298 | 0.5253 | 0.4417 | 0.4663 |
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+ | 0.2375 | 7.0 | 1302 | 1.3106 | 0.7251 | 0.4946 | 0.4278 | 0.4439 |
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+ | 0.187 | 8.0 | 1488 | 1.4710 | 0.7157 | 0.4674 | 0.4343 | 0.4480 |
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+ | 0.0777 | 9.0 | 1674 | 1.6748 | 0.7110 | 0.4842 | 0.4221 | 0.4442 |
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+ | 0.0589 | 10.0 | 1860 | 1.7426 | 0.7164 | 0.4840 | 0.4431 | 0.4594 |
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  ### Framework versions
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