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arabert_cross_relevance_task4_fold1

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  2. config.json +32 -0
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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_relevance_task4_fold0
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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_relevance_task4_fold0
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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: 0.2479
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+ - Qwk: 0.1137
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+ - Mse: 0.2477
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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 | 0.0308 | 2 | 1.1704 | 0.0068 | 1.1689 |
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+ | No log | 0.0615 | 4 | 0.3625 | 0.0496 | 0.3618 |
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+ | No log | 0.0923 | 6 | 0.2641 | 0.0297 | 0.2635 |
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+ | No log | 0.1231 | 8 | 0.2513 | 0.0073 | 0.2507 |
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+ | No log | 0.1538 | 10 | 0.3032 | 0.0512 | 0.3025 |
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+ | No log | 0.1846 | 12 | 0.3827 | 0.0703 | 0.3818 |
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+ | No log | 0.2154 | 14 | 0.3771 | 0.0767 | 0.3763 |
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+ | No log | 0.2462 | 16 | 0.3026 | 0.0809 | 0.3019 |
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+ | No log | 0.2769 | 18 | 0.2590 | 0.0646 | 0.2586 |
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+ | No log | 0.3077 | 20 | 0.2674 | 0.0745 | 0.2668 |
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+ | No log | 0.3385 | 22 | 0.2762 | 0.0992 | 0.2757 |
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+ | No log | 0.3692 | 24 | 0.2855 | 0.1225 | 0.2852 |
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+ | No log | 0.4 | 26 | 0.3271 | 0.1089 | 0.3269 |
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+ | No log | 0.4308 | 28 | 0.3800 | 0.1124 | 0.3799 |
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+ | No log | 0.4615 | 30 | 0.4123 | 0.0941 | 0.4122 |
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+ | No log | 0.4923 | 32 | 0.4381 | 0.0968 | 0.4379 |
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+ | No log | 0.5231 | 34 | 0.4126 | 0.1072 | 0.4124 |
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+ | No log | 0.5538 | 36 | 0.3850 | 0.1134 | 0.3848 |
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+ | No log | 0.5846 | 38 | 0.3976 | 0.1200 | 0.3974 |
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+ | No log | 0.6154 | 40 | 0.4201 | 0.1208 | 0.4198 |
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+ | No log | 0.6462 | 42 | 0.3902 | 0.1237 | 0.3899 |
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+ | No log | 0.6769 | 44 | 0.3376 | 0.1125 | 0.3373 |
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+ | No log | 0.7077 | 46 | 0.3133 | 0.1172 | 0.3131 |
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+ | No log | 0.7385 | 48 | 0.3111 | 0.1181 | 0.3109 |
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+ | No log | 0.7692 | 50 | 0.2963 | 0.1221 | 0.2960 |
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+ | No log | 0.8 | 52 | 0.2785 | 0.1201 | 0.2783 |
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+ | No log | 0.8308 | 54 | 0.2692 | 0.1314 | 0.2691 |
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+ | No log | 0.8615 | 56 | 0.2596 | 0.1243 | 0.2594 |
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+ | No log | 0.8923 | 58 | 0.2565 | 0.1191 | 0.2563 |
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+ | No log | 0.9231 | 60 | 0.2527 | 0.1137 | 0.2525 |
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+ | No log | 0.9538 | 62 | 0.2495 | 0.1137 | 0.2494 |
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+ | No log | 0.9846 | 64 | 0.2479 | 0.1137 | 0.2477 |
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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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