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bert-base-fine-tuned-text-classificarion-ds

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7043
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- - F1: 0.8593
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- - Recall: 0.9046
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- - Accuracy: 0.9046
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- - Precision: 0.8183
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
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- | 0.2575 | 1.0 | 1195 | 0.6712 | 0.8593 | 0.9046 | 0.9046 | 0.8183 |
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- | 0.2478 | 2.0 | 2390 | 0.6663 | 0.8593 | 0.9046 | 0.9046 | 0.8183 |
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- | 0.254 | 3.0 | 3585 | 0.6704 | 0.8593 | 0.9046 | 0.9046 | 0.8183 |
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- | 0.2905 | 4.0 | 4780 | 0.6748 | 0.8593 | 0.9046 | 0.9046 | 0.8183 |
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- | 0.2531 | 5.0 | 5975 | 0.7043 | 0.8593 | 0.9046 | 0.9046 | 0.8183 |
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  ### Framework versions
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- - Transformers 4.33.0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.4
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.8256
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+ - F1: 0.0045
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+ - Recall: 0.0483
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+ - Accuracy: 0.0483
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+ - Precision: 0.0023
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
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+ | 4.0201 | 1.0 | 588 | 3.8207 | 0.0000 | 0.0034 | 0.0034 | 0.0000 |
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+ | 4.0249 | 2.0 | 1176 | 3.7674 | 0.0006 | 0.0175 | 0.0175 | 0.0003 |
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+ | 4.0117 | 3.0 | 1764 | 3.8834 | 0.0002 | 0.0094 | 0.0094 | 0.0001 |
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+ | 4.0209 | 4.0 | 2352 | 3.7563 | 0.0003 | 0.0131 | 0.0131 | 0.0002 |
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+ | 4.0146 | 5.0 | 2940 | 3.8256 | 0.0045 | 0.0483 | 0.0483 | 0.0023 |
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  ### Framework versions
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+ - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
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