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Musa24
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results_mbert_orig

Text Classification
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Safetensors
bert
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -7,22 +7,22 @@ tags:
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  metrics:
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  - accuracy
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  model-index:
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- - name: results_mbert_orig
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # results_mbert_orig
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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: 0.7839
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- - Accuracy: 0.6505
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- - Macro F1: 0.4401
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- - Weighted F1: 0.6301
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- - Positive F1: 0.0
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  ## Model description
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@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | Positive F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:-----------:|
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- | No log | 1.0 | 350 | 0.8796 | 0.5697 | 0.3251 | 0.4869 | 0.0 |
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- | 0.8703 | 2.0 | 700 | 0.7860 | 0.6362 | 0.4320 | 0.6179 | 0.0 |
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- | 0.7888 | 3.0 | 1050 | 0.7839 | 0.6505 | 0.4401 | 0.6301 | 0.0 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: results_mbert_aug
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # results_mbert_aug
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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: 0.6506
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+ - Accuracy: 0.7158
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+ - Macro F1: 0.7326
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+ - Weighted F1: 0.7182
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+ - Positive F1: 0.85
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | Positive F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:-----------:|
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+ | No log | 1.0 | 408 | 0.6576 | 0.7041 | 0.7257 | 0.7089 | 0.8489 |
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+ | 0.7342 | 2.0 | 816 | 0.6506 | 0.7158 | 0.7326 | 0.7182 | 0.85 |
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+ | 0.6158 | 3.0 | 1224 | 0.6940 | 0.7207 | 0.7357 | 0.7227 | 0.8447 |
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  ### Framework versions
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