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arabert_cross_relevance_task2_fold1

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  1. README.md +85 -0
  2. config.json +32 -0
  3. model.safetensors +3 -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_task2_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_task2_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: 0.2433
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+ - Qwk: 0.0809
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+ - Mse: 0.2430
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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 | 0.0351 | 2 | 0.5429 | 0.0139 | 0.5422 |
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+ | No log | 0.0702 | 4 | 0.2881 | -0.0033 | 0.2878 |
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+ | No log | 0.1053 | 6 | 0.2552 | 0.0037 | 0.2550 |
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+ | No log | 0.1404 | 8 | 0.2756 | 0.0363 | 0.2756 |
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+ | No log | 0.1754 | 10 | 0.2731 | 0.0358 | 0.2730 |
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+ | No log | 0.2105 | 12 | 0.2492 | 0.0319 | 0.2491 |
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+ | No log | 0.2456 | 14 | 0.2366 | 0.0426 | 0.2365 |
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+ | No log | 0.2807 | 16 | 0.2435 | 0.0674 | 0.2435 |
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+ | No log | 0.3158 | 18 | 0.2530 | 0.0698 | 0.2530 |
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+ | No log | 0.3509 | 20 | 0.2490 | 0.0774 | 0.2489 |
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+ | No log | 0.3860 | 22 | 0.2454 | 0.0743 | 0.2454 |
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+ | No log | 0.4211 | 24 | 0.2447 | 0.0740 | 0.2446 |
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+ | No log | 0.4561 | 26 | 0.2496 | 0.0713 | 0.2494 |
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+ | No log | 0.4912 | 28 | 0.2557 | 0.0679 | 0.2553 |
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+ | No log | 0.5263 | 30 | 0.2693 | 0.0721 | 0.2689 |
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+ | No log | 0.5614 | 32 | 0.2903 | 0.0721 | 0.2898 |
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+ | No log | 0.5965 | 34 | 0.2872 | 0.0721 | 0.2868 |
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+ | No log | 0.6316 | 36 | 0.2801 | 0.0787 | 0.2797 |
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+ | No log | 0.6667 | 38 | 0.2824 | 0.0809 | 0.2819 |
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+ | No log | 0.7018 | 40 | 0.2708 | 0.0809 | 0.2704 |
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+ | No log | 0.7368 | 42 | 0.2675 | 0.0809 | 0.2672 |
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+ | No log | 0.7719 | 44 | 0.2680 | 0.0809 | 0.2677 |
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+ | No log | 0.8070 | 46 | 0.2603 | 0.0809 | 0.2600 |
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+ | No log | 0.8421 | 48 | 0.2536 | 0.0809 | 0.2534 |
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+ | No log | 0.8772 | 50 | 0.2489 | 0.0809 | 0.2487 |
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+ | No log | 0.9123 | 52 | 0.2470 | 0.0809 | 0.2467 |
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+ | No log | 0.9474 | 54 | 0.2448 | 0.0809 | 0.2446 |
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+ | No log | 0.9825 | 56 | 0.2433 | 0.0809 | 0.2430 |
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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
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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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