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arabert_cross_organization_task4_fold3

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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_organization_task4_fold2
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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_organization_task4_fold2
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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: 1.3326
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+ - Qwk: -0.0168
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+ - Mse: 1.3108
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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 | 0.0282 | 2 | 5.7271 | 0.0134 | 5.7480 |
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+ | No log | 0.0563 | 4 | 2.8011 | 0.0108 | 2.8128 |
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+ | No log | 0.0845 | 6 | 1.1853 | 0.0747 | 1.1830 |
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+ | No log | 0.1127 | 8 | 0.8362 | 0.0389 | 0.8275 |
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+ | No log | 0.1408 | 10 | 0.8333 | 0.1288 | 0.8213 |
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+ | No log | 0.1690 | 12 | 0.8688 | 0.1267 | 0.8595 |
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+ | No log | 0.1972 | 14 | 0.9519 | 0.1054 | 0.9385 |
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+ | No log | 0.2254 | 16 | 0.9970 | 0.0306 | 0.9822 |
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+ | No log | 0.2535 | 18 | 1.0292 | 0.0258 | 1.0103 |
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+ | No log | 0.2817 | 20 | 1.0334 | -0.0628 | 1.0157 |
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+ | No log | 0.3099 | 22 | 1.0686 | -0.1440 | 1.0532 |
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+ | No log | 0.3380 | 24 | 1.1200 | 0.0189 | 1.0994 |
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+ | No log | 0.3662 | 26 | 1.2013 | 0.0103 | 1.1805 |
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+ | No log | 0.3944 | 28 | 1.2303 | -0.0460 | 1.2082 |
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+ | No log | 0.4225 | 30 | 1.2347 | -0.0420 | 1.2132 |
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+ | No log | 0.4507 | 32 | 1.1787 | -0.0368 | 1.1561 |
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+ | No log | 0.4789 | 34 | 1.1677 | -0.0346 | 1.1449 |
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+ | No log | 0.5070 | 36 | 1.1550 | 0.0020 | 1.1329 |
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+ | No log | 0.5352 | 38 | 1.1940 | -0.0866 | 1.1731 |
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+ | No log | 0.5634 | 40 | 1.1923 | -0.0408 | 1.1735 |
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+ | No log | 0.5915 | 42 | 1.1642 | -0.0408 | 1.1467 |
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+ | No log | 0.6197 | 44 | 1.0921 | -0.0468 | 1.0757 |
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+ | No log | 0.6479 | 46 | 1.0848 | -0.0448 | 1.0687 |
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+ | No log | 0.6761 | 48 | 1.0785 | -0.0317 | 1.0615 |
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+ | No log | 0.7042 | 50 | 1.0877 | 0.0101 | 1.0705 |
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+ | No log | 0.7324 | 52 | 1.1100 | -0.0298 | 1.0927 |
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+ | No log | 0.7606 | 54 | 1.1436 | -0.0217 | 1.1254 |
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+ | No log | 0.7887 | 56 | 1.1970 | -0.0235 | 1.1785 |
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+ | No log | 0.8169 | 58 | 1.2422 | -0.0168 | 1.2238 |
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+ | No log | 0.8451 | 60 | 1.2565 | -0.0168 | 1.2371 |
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+ | No log | 0.8732 | 62 | 1.2821 | -0.0168 | 1.2624 |
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+ | No log | 0.9014 | 64 | 1.3042 | -0.0168 | 1.2840 |
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+ | No log | 0.9296 | 66 | 1.3287 | -0.0168 | 1.3079 |
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+ | No log | 0.9577 | 68 | 1.3368 | -0.0168 | 1.3154 |
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+ | No log | 0.9859 | 70 | 1.3326 | -0.0168 | 1.3108 |
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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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