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

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

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  1. README.md +11 -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: 0.6112
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- - Accuracy: 0.6878
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- - Precision: 0.6586
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- - Recall: 0.6291
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- - F1: 0.6330
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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: 2e-05
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  - train_batch_size: 32
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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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- | 0.6312 | 0.9709 | 25 | 0.5962 | 0.6921 | 0.7303 | 0.5882 | 0.5657 |
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- | 0.5494 | 1.9806 | 51 | 0.6137 | 0.7084 | 0.7402 | 0.6140 | 0.6047 |
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- | 0.5448 | 2.9903 | 77 | 0.5723 | 0.7221 | 0.7021 | 0.6701 | 0.6771 |
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- | 0.5016 | 4.0 | 103 | 0.5903 | 0.7030 | 0.6783 | 0.6470 | 0.6524 |
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- | 0.4918 | 4.8544 | 125 | 0.5932 | 0.7084 | 0.6832 | 0.6610 | 0.6666 |
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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: 0.6415
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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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  ### 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: 32
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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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+ | 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
model.safetensors CHANGED
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  size 1421495416
 
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