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arabert_cross_vocabulary_task3_fold0

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README.md ADDED
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+ ---
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+ base_model: aubmindlab/bert-base-arabertv02
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: arabert_cross_vocabulary_task2_fold6
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+ results: []
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+ ---
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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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+
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+ # arabert_cross_vocabulary_task2_fold6
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6523
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+ - Qwk: 0.5530
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+ - Mse: 0.6489
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0328 | 2 | 1.8840 | 0.0145 | 1.8809 |
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+ | No log | 0.0656 | 4 | 0.9359 | 0.2886 | 0.9294 |
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+ | No log | 0.0984 | 6 | 0.7301 | 0.4326 | 0.7244 |
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+ | No log | 0.1311 | 8 | 0.8788 | 0.4198 | 0.8649 |
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+ | No log | 0.1639 | 10 | 2.1531 | 0.2129 | 2.1311 |
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+ | No log | 0.1967 | 12 | 1.2200 | 0.3928 | 1.2071 |
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+ | No log | 0.2295 | 14 | 0.4403 | 0.6916 | 0.4393 |
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+ | No log | 0.2623 | 16 | 0.3920 | 0.7036 | 0.3922 |
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+ | No log | 0.2951 | 18 | 0.5236 | 0.5366 | 0.5237 |
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+ | No log | 0.3279 | 20 | 0.9738 | 0.4072 | 0.9738 |
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+ | No log | 0.3607 | 22 | 1.2122 | 0.3697 | 1.2128 |
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+ | No log | 0.3934 | 24 | 0.9504 | 0.4239 | 0.9509 |
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+ | No log | 0.4262 | 26 | 0.7372 | 0.4925 | 0.7381 |
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+ | No log | 0.4590 | 28 | 0.6200 | 0.5858 | 0.6206 |
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+ | No log | 0.4918 | 30 | 0.5103 | 0.6451 | 0.5105 |
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+ | No log | 0.5246 | 32 | 0.4884 | 0.6459 | 0.4883 |
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+ | No log | 0.5574 | 34 | 0.5462 | 0.5996 | 0.5459 |
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+ | No log | 0.5902 | 36 | 0.6834 | 0.5246 | 0.6825 |
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+ | No log | 0.6230 | 38 | 0.7927 | 0.4864 | 0.7913 |
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+ | No log | 0.6557 | 40 | 0.7801 | 0.4921 | 0.7782 |
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+ | No log | 0.6885 | 42 | 0.6863 | 0.5236 | 0.6844 |
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+ | No log | 0.7213 | 44 | 0.6421 | 0.5737 | 0.6400 |
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+ | No log | 0.7541 | 46 | 0.5559 | 0.6240 | 0.5539 |
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+ | No log | 0.7869 | 48 | 0.5296 | 0.6240 | 0.5276 |
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+ | No log | 0.8197 | 50 | 0.5617 | 0.6101 | 0.5592 |
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+ | No log | 0.8525 | 52 | 0.6106 | 0.5850 | 0.6076 |
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+ | No log | 0.8852 | 54 | 0.6289 | 0.5711 | 0.6257 |
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+ | No log | 0.9180 | 56 | 0.6469 | 0.5601 | 0.6435 |
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+ | No log | 0.9508 | 58 | 0.6495 | 0.5530 | 0.6461 |
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+ | No log | 0.9836 | 60 | 0.6523 | 0.5530 | 0.6489 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "aubmindlab/bert-base-arabertv02",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "regression",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 64000
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+ }
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