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arabert_cross_relevance_task1_fold5

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  1. README.md +87 -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_task1_fold4
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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_task1_fold4
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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: 0.2814
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+ - Qwk: 0.1577
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+ - Mse: 0.2814
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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 | 0.5567 | -0.0320 | 0.5567 |
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+ | No log | 0.0656 | 4 | 0.5564 | -0.0102 | 0.5564 |
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+ | No log | 0.0984 | 6 | 0.5081 | 0.0304 | 0.5081 |
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+ | No log | 0.1311 | 8 | 0.4677 | 0.0304 | 0.4677 |
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+ | No log | 0.1639 | 10 | 0.4282 | 0.0400 | 0.4282 |
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+ | No log | 0.1967 | 12 | 0.4239 | 0.0496 | 0.4239 |
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+ | No log | 0.2295 | 14 | 0.4171 | 0.0384 | 0.4171 |
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+ | No log | 0.2623 | 16 | 0.3868 | 0.0496 | 0.3868 |
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+ | No log | 0.2951 | 18 | 0.3678 | 0.0690 | 0.3678 |
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+ | No log | 0.3279 | 20 | 0.3448 | 0.0596 | 0.3448 |
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+ | No log | 0.3607 | 22 | 0.3295 | 0.0877 | 0.3295 |
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+ | No log | 0.3934 | 24 | 0.3190 | 0.0877 | 0.3190 |
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+ | No log | 0.4262 | 26 | 0.3166 | 0.0969 | 0.3166 |
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+ | No log | 0.4590 | 28 | 0.3135 | 0.0969 | 0.3135 |
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+ | No log | 0.4918 | 30 | 0.3075 | 0.0969 | 0.3075 |
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+ | No log | 0.5246 | 32 | 0.3014 | 0.1139 | 0.3014 |
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+ | No log | 0.5574 | 34 | 0.2971 | 0.1139 | 0.2971 |
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+ | No log | 0.5902 | 36 | 0.2957 | 0.1048 | 0.2957 |
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+ | No log | 0.6230 | 38 | 0.2937 | 0.1048 | 0.2937 |
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+ | No log | 0.6557 | 40 | 0.2888 | 0.1139 | 0.2888 |
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+ | No log | 0.6885 | 42 | 0.2867 | 0.1139 | 0.2867 |
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+ | No log | 0.7213 | 44 | 0.2857 | 0.1139 | 0.2857 |
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+ | No log | 0.7541 | 46 | 0.2847 | 0.1321 | 0.2847 |
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+ | No log | 0.7869 | 48 | 0.2833 | 0.1577 | 0.2833 |
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+ | No log | 0.8197 | 50 | 0.2826 | 0.1577 | 0.2826 |
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+ | No log | 0.8525 | 52 | 0.2822 | 0.1577 | 0.2822 |
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+ | No log | 0.8852 | 54 | 0.2805 | 0.1577 | 0.2805 |
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+ | No log | 0.9180 | 56 | 0.2810 | 0.1667 | 0.2810 |
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+ | No log | 0.9508 | 58 | 0.2816 | 0.1667 | 0.2816 |
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+ | No log | 0.9836 | 60 | 0.2814 | 0.1577 | 0.2814 |
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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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+ "classifier_dropout": null,
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+ "id2label": {
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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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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