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twitter-roberta-large-hate-latest-hinglish-binary

Text Classification
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roberta
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End of training

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  1. README.md +16 -11
  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: 0.6415
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- - Accuracy: 0.6965
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- - Precision: 0.6702
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- - Recall: 0.6385
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- - F1: 0.6432
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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: 128
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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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- | 0.6338 | 0.9709 | 25 | 0.6149 | 0.6839 | 0.7338 | 0.5736 | 0.5406 |
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- | 0.5924 | 1.9806 | 51 | 0.6402 | 0.7030 | 0.7390 | 0.6048 | 0.5911 |
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- | 0.5444 | 2.9903 | 77 | 0.6198 | 0.6567 | 0.6397 | 0.6480 | 0.6409 |
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- | 0.4917 | 4.0 | 103 | 0.6023 | 0.7193 | 0.6966 | 0.6728 | 0.6791 |
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- | 0.433 | 4.8544 | 125 | 0.6140 | 0.7193 | 0.6977 | 0.6696 | 0.6762 |
 
 
 
 
 
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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: 0.8288
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+ - Accuracy: 0.6779
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+ - Precision: 0.6455
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+ - Recall: 0.6188
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+ - F1: 0.6218
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  ## Model description
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  - total_train_batch_size: 128
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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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+ | 0.6392 | 0.9709 | 25 | 0.6656 | 0.6376 | 0.3188 | 0.5 | 0.3894 |
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+ | 0.63 | 1.9806 | 51 | 0.7095 | 0.6403 | 0.8197 | 0.5038 | 0.3975 |
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+ | 0.6117 | 2.9903 | 77 | 0.6043 | 0.6921 | 0.6720 | 0.6174 | 0.6176 |
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+ | 0.5974 | 4.0 | 103 | 0.6540 | 0.6730 | 0.6787 | 0.5667 | 0.5369 |
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+ | 0.5512 | 4.9709 | 128 | 0.6216 | 0.6948 | 0.6745 | 0.6228 | 0.6243 |
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+ | 0.5162 | 5.9806 | 154 | 0.6164 | 0.7057 | 0.6873 | 0.6394 | 0.6438 |
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+ | 0.4525 | 6.9903 | 180 | 0.6715 | 0.6948 | 0.6757 | 0.6211 | 0.6221 |
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+ | 0.4207 | 8.0 | 206 | 0.7581 | 0.7084 | 0.6844 | 0.6562 | 0.6620 |
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+ | 0.3381 | 8.9709 | 231 | 0.7439 | 0.6812 | 0.6560 | 0.6575 | 0.6567 |
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+ | 0.3016 | 9.7087 | 250 | 0.7481 | 0.7030 | 0.6762 | 0.6649 | 0.6688 |
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  ### Framework versions
model.safetensors CHANGED
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