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arabert_cross_relevance_task1_fold6

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  1. README.md +85 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194467.04a6a2005c12.23.0 +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_fold5
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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_fold5
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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: 0.1955
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+ - Qwk: 0.3846
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+ - Mse: 0.1955
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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 | 0.3613 | 0.2826 | 0.3613 |
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+ | No log | 0.0702 | 4 | 0.4116 | 0.5484 | 0.4116 |
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+ | No log | 0.1053 | 6 | 0.2771 | 0.4880 | 0.2771 |
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+ | No log | 0.1404 | 8 | 0.2157 | 0.3346 | 0.2157 |
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+ | No log | 0.1754 | 10 | 0.2149 | 0.3324 | 0.2149 |
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+ | No log | 0.2105 | 12 | 0.2119 | 0.3302 | 0.2119 |
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+ | No log | 0.2456 | 14 | 0.2146 | 0.3336 | 0.2146 |
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+ | No log | 0.2807 | 16 | 0.2085 | 0.3319 | 0.2085 |
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+ | No log | 0.3158 | 18 | 0.2118 | 0.3641 | 0.2118 |
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+ | No log | 0.3509 | 20 | 0.2261 | 0.4439 | 0.2261 |
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+ | No log | 0.3860 | 22 | 0.2392 | 0.4713 | 0.2392 |
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+ | No log | 0.4211 | 24 | 0.2344 | 0.4095 | 0.2344 |
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+ | No log | 0.4561 | 26 | 0.2151 | 0.3602 | 0.2151 |
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+ | No log | 0.4912 | 28 | 0.2029 | 0.3304 | 0.2029 |
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+ | No log | 0.5263 | 30 | 0.2041 | 0.3227 | 0.2041 |
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+ | No log | 0.5614 | 32 | 0.2085 | 0.3015 | 0.2085 |
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+ | No log | 0.5965 | 34 | 0.2114 | 0.2998 | 0.2114 |
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+ | No log | 0.6316 | 36 | 0.2114 | 0.2998 | 0.2114 |
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+ | No log | 0.6667 | 38 | 0.2041 | 0.3156 | 0.2041 |
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+ | No log | 0.7018 | 40 | 0.1985 | 0.3186 | 0.1985 |
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+ | No log | 0.7368 | 42 | 0.1948 | 0.3490 | 0.1948 |
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+ | No log | 0.7719 | 44 | 0.1925 | 0.3543 | 0.1925 |
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+ | No log | 0.8070 | 46 | 0.1939 | 0.3667 | 0.1939 |
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+ | No log | 0.8421 | 48 | 0.1928 | 0.3684 | 0.1928 |
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+ | No log | 0.8772 | 50 | 0.1932 | 0.3736 | 0.1932 |
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+ | No log | 0.9123 | 52 | 0.1942 | 0.3795 | 0.1942 |
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+ | No log | 0.9474 | 54 | 0.1952 | 0.3846 | 0.1952 |
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+ | No log | 0.9825 | 56 | 0.1955 | 0.3846 | 0.1955 |
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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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