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arabert_cross_vocabulary_task7_fold4

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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_vocabulary_task7_fold3
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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_vocabulary_task7_fold3
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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: 0.7581
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+ - Qwk: 0.0
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+ - Mse: 0.7581
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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 | 7.8306 | -0.0005 | 7.8306 |
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+ | No log | 0.0615 | 4 | 4.1936 | 0.0 | 4.1936 |
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+ | No log | 0.0923 | 6 | 2.0851 | 0.0593 | 2.0851 |
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+ | No log | 0.1231 | 8 | 1.2404 | 0.0 | 1.2404 |
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+ | No log | 0.1538 | 10 | 0.8586 | 0.0093 | 0.8586 |
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+ | No log | 0.1846 | 12 | 0.7508 | 0.0707 | 0.7508 |
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+ | No log | 0.2154 | 14 | 0.7356 | 0.0372 | 0.7356 |
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+ | No log | 0.2462 | 16 | 0.8138 | 0.1082 | 0.8138 |
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+ | No log | 0.2769 | 18 | 0.9262 | -0.0080 | 0.9262 |
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+ | No log | 0.3077 | 20 | 0.8710 | -0.0045 | 0.8710 |
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+ | No log | 0.3385 | 22 | 0.7502 | -0.0408 | 0.7502 |
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+ | No log | 0.3692 | 24 | 0.7389 | 0.0 | 0.7389 |
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+ | No log | 0.4 | 26 | 0.7855 | 0.0 | 0.7855 |
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+ | No log | 0.4308 | 28 | 0.7754 | 0.0 | 0.7754 |
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+ | No log | 0.4615 | 30 | 0.7485 | 0.0 | 0.7485 |
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+ | No log | 0.4923 | 32 | 0.7451 | 0.0 | 0.7451 |
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+ | No log | 0.5231 | 34 | 0.7615 | 0.0 | 0.7615 |
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+ | No log | 0.5538 | 36 | 0.7804 | 0.0 | 0.7804 |
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+ | No log | 0.5846 | 38 | 0.7731 | 0.0 | 0.7731 |
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+ | No log | 0.6154 | 40 | 0.7812 | 0.0 | 0.7812 |
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+ | No log | 0.6462 | 42 | 0.8026 | 0.0 | 0.8026 |
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+ | No log | 0.6769 | 44 | 0.8454 | 0.0 | 0.8454 |
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+ | No log | 0.7077 | 46 | 0.8541 | 0.0 | 0.8541 |
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+ | No log | 0.7385 | 48 | 0.8250 | 0.0 | 0.8250 |
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+ | No log | 0.7692 | 50 | 0.8021 | 0.0 | 0.8021 |
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+ | No log | 0.8 | 52 | 0.7828 | 0.0 | 0.7828 |
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+ | No log | 0.8308 | 54 | 0.7701 | 0.0 | 0.7701 |
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+ | No log | 0.8615 | 56 | 0.7633 | 0.0 | 0.7633 |
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+ | No log | 0.8923 | 58 | 0.7561 | 0.0 | 0.7561 |
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+ | No log | 0.9231 | 60 | 0.7554 | 0.0 | 0.7554 |
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+ | No log | 0.9538 | 62 | 0.7563 | 0.0 | 0.7563 |
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+ | No log | 0.9846 | 64 | 0.7581 | 0.0 | 0.7581 |
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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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