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README.md

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+---
+library_name: transformers
+base_model: aubmindlab/bert-base-arabertv2
+tags:
+- generated_from_trainer
+model-index:
+- name: arabert_armis_multitask_hard
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# arabert_armis_multitask_hard
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7896
+- Disagreement Accuracy: 0.5035
+- Disagreement F1: 0.4167
+- Target Accuracy: 0.6525
+- Target F1: 0.6202
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Disagreement Accuracy | Disagreement F1 | Target Accuracy | Target F1 |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------:|:---------------:|:---------------:|:---------:|
+| 0.8457        | 1.0   | 21   | 0.8400          | 0.5390                | 0.4961          | 0.4610          | 0.5778    |
+| 0.8372        | 2.0   | 42   | 0.8325          | 0.5461                | 0.4386          | 0.6241          | 0.5225    |
+| 0.8341        | 3.0   | 63   | 0.8290          | 0.5532                | 0.4324          | 0.5390          | 0.5517    |
+| 0.8153        | 4.0   | 84   | 0.8240          | 0.5532                | 0.496           | 0.5603          | 0.5634    |
+| 0.809         | 5.0   | 105  | 0.8209          | 0.5319                | 0.3125          | 0.5816          | 0.5874    |
+| 0.79          | 6.0   | 126  | 0.8150          | 0.5390                | 0.4882          | 0.6099          | 0.5669    |
+| 0.7857        | 7.0   | 147  | 0.8119          | 0.5177                | 0.3462          | 0.6312          | 0.5806    |
+| 0.7775        | 8.0   | 168  | 0.8090          | 0.5035                | 0.3137          | 0.6099          | 0.5926    |
+| 0.7763        | 9.0   | 189  | 0.8041          | 0.5106                | 0.448           | 0.6383          | 0.5984    |
+| 0.7685        | 10.0  | 210  | 0.8015          | 0.5106                | 0.3670          | 0.6454          | 0.6094    |
+| 0.7652        | 11.0  | 231  | 0.7990          | 0.5035                | 0.4262          | 0.6383          | 0.6165    |
+| 0.7597        | 12.0  | 252  | 0.7979          | 0.5106                | 0.4651          | 0.6241          | 0.6074    |
+| 0.753         | 13.0  | 273  | 0.7955          | 0.4894                | 0.4286          | 0.6454          | 0.6212    |
+| 0.7475        | 14.0  | 294  | 0.7930          | 0.5035                | 0.4167          | 0.6596          | 0.6190    |
+| 0.7465        | 15.0  | 315  | 0.7923          | 0.4965                | 0.4132          | 0.6525          | 0.6202    |
+| 0.7425        | 16.0  | 336  | 0.7914          | 0.5035                | 0.4167          | 0.6454          | 0.6032    |
+| 0.7407        | 17.0  | 357  | 0.7905          | 0.4965                | 0.4132          | 0.6525          | 0.6202    |
+| 0.7397        | 18.0  | 378  | 0.7901          | 0.5248                | 0.4174          | 0.6525          | 0.6202    |
+| 0.7362        | 19.0  | 399  | 0.7897          | 0.5035                | 0.4167          | 0.6525          | 0.6202    |
+| 0.7358        | 20.0  | 420  | 0.7896          | 0.5035                | 0.4167          | 0.6525          | 0.6202    |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.5.1+cu121
+- Datasets 4.3.0
+- Tokenizers 0.22.1

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multitask_config.json

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+  "base_model": "google-bert/bert-base-uncased",
+  "task_labels_map": {
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+  "dropout_prob": 0.4
+}

special_tokens_map.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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tokenizer_config.json

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