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BDAIO
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NLP_90_1

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

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  1. README.md +13 -13
  2. fasttext_model.bin +1 -1
  3. model.safetensors +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 [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3865
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- - Accuracy: 0.9037
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- - Precision: 0.8977
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- - Recall: 0.9047
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- - F1: 0.9000
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  ## Model description
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@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.3492 | 1.0 | 48 | 0.3957 | 0.8853 | 0.8792 | 0.8866 | 0.8779 |
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- | 0.1968 | 2.0 | 96 | 0.3972 | 0.8761 | 0.8731 | 0.8681 | 0.8695 |
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- | 0.2027 | 3.0 | 144 | 0.3901 | 0.8945 | 0.8872 | 0.8907 | 0.8873 |
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- | 0.1707 | 4.0 | 192 | 0.3775 | 0.8899 | 0.8930 | 0.8793 | 0.8832 |
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- | 0.1673 | 5.0 | 240 | 0.4176 | 0.8991 | 0.8921 | 0.8997 | 0.8944 |
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- | 0.1113 | 6.0 | 288 | 0.4009 | 0.9037 | 0.8977 | 0.9047 | 0.9000 |
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- | 0.1084 | 7.0 | 336 | 0.3822 | 0.9037 | 0.8977 | 0.9047 | 0.9000 |
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- | 0.131 | 8.0 | 384 | 0.3865 | 0.9037 | 0.8977 | 0.9047 | 0.9000 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3325
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+ - Accuracy: 0.9174
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+ - Precision: 0.9126
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+ - Recall: 0.9140
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+ - F1: 0.9128
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.3664 | 1.0 | 48 | 0.3609 | 0.8991 | 0.8935 | 0.8988 | 0.8938 |
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+ | 0.2282 | 2.0 | 96 | 0.3376 | 0.8991 | 0.8920 | 0.8978 | 0.8927 |
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+ | 0.1638 | 3.0 | 144 | 0.3184 | 0.9128 | 0.9070 | 0.9079 | 0.9070 |
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+ | 0.1595 | 4.0 | 192 | 0.3291 | 0.9174 | 0.9147 | 0.9131 | 0.9135 |
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+ | 0.1388 | 5.0 | 240 | 0.3495 | 0.8945 | 0.8844 | 0.8918 | 0.8865 |
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+ | 0.1075 | 6.0 | 288 | 0.3357 | 0.9174 | 0.9151 | 0.9141 | 0.9139 |
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+ | 0.1073 | 7.0 | 336 | 0.3311 | 0.9174 | 0.9126 | 0.9140 | 0.9128 |
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+ | 0.1507 | 8.0 | 384 | 0.3325 | 0.9174 | 0.9126 | 0.9140 | 0.9128 |
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  ### Framework versions
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