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arabert_cross_relevance_task2_fold2

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  1. README.md +88 -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_fold1
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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_fold1
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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: 0.3095
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+ - Qwk: 0.0122
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+ - Mse: 0.3095
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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 | 0.0317 | 2 | 0.4149 | -0.0147 | 0.4158 |
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+ | No log | 0.0635 | 4 | 0.5335 | 0.1106 | 0.5335 |
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+ | No log | 0.0952 | 6 | 0.5725 | 0.1645 | 0.5725 |
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+ | No log | 0.1270 | 8 | 0.3171 | -0.0585 | 0.3169 |
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+ | No log | 0.1587 | 10 | 0.2926 | 0.0 | 0.2912 |
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+ | No log | 0.1905 | 12 | 0.2846 | 0.0 | 0.2833 |
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+ | No log | 0.2222 | 14 | 0.3130 | 0.0 | 0.3124 |
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+ | No log | 0.2540 | 16 | 0.4146 | -0.0932 | 0.4145 |
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+ | No log | 0.2857 | 18 | 0.5126 | -0.0604 | 0.5126 |
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+ | No log | 0.3175 | 20 | 0.5293 | 0.0071 | 0.5293 |
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+ | No log | 0.3492 | 22 | 0.5096 | -0.0065 | 0.5096 |
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+ | No log | 0.3810 | 24 | 0.4663 | -0.0607 | 0.4663 |
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+ | No log | 0.4127 | 26 | 0.3891 | 0.0072 | 0.3890 |
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+ | No log | 0.4444 | 28 | 0.3106 | 0.0 | 0.3105 |
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+ | No log | 0.4762 | 30 | 0.2879 | 0.0 | 0.2877 |
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+ | No log | 0.5079 | 32 | 0.2833 | 0.0 | 0.2833 |
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+ | No log | 0.5397 | 34 | 0.2867 | 0.0 | 0.2867 |
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+ | No log | 0.5714 | 36 | 0.2981 | 0.0 | 0.2981 |
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+ | No log | 0.6032 | 38 | 0.3163 | 0.0122 | 0.3163 |
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+ | No log | 0.6349 | 40 | 0.3375 | -0.0208 | 0.3375 |
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+ | No log | 0.6667 | 42 | 0.3404 | -0.0128 | 0.3404 |
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+ | No log | 0.6984 | 44 | 0.3376 | -0.0128 | 0.3376 |
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+ | No log | 0.7302 | 46 | 0.3381 | -0.0128 | 0.3381 |
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+ | No log | 0.7619 | 48 | 0.3257 | -0.0042 | 0.3257 |
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+ | No log | 0.7937 | 50 | 0.3134 | 0.0122 | 0.3134 |
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+ | No log | 0.8254 | 52 | 0.3075 | 0.0 | 0.3075 |
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+ | No log | 0.8571 | 54 | 0.3042 | 0.0 | 0.3042 |
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+ | No log | 0.8889 | 56 | 0.3043 | 0.0 | 0.3043 |
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+ | No log | 0.9206 | 58 | 0.3064 | 0.0 | 0.3064 |
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+ | No log | 0.9524 | 60 | 0.3082 | 0.0122 | 0.3082 |
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+ | No log | 0.9841 | 62 | 0.3095 | 0.0122 | 0.3095 |
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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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