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arabert_baseline_mechanics_task2_fold0

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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_baseline_mechanics_task1_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_baseline_mechanics_task1_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: 0.5507
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+ - Qwk: 0.4324
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+ - Mse: 0.5505
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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: 10
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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 | 0.3333 | 2 | 4.9042 | 0.0 | 4.9234 |
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+ | No log | 0.6667 | 4 | 2.0020 | -0.0299 | 2.0282 |
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+ | No log | 1.0 | 6 | 1.2914 | 0.0769 | 1.3136 |
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+ | No log | 1.3333 | 8 | 1.0020 | 0.0500 | 1.0184 |
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+ | No log | 1.6667 | 10 | 0.7738 | 0.125 | 0.7839 |
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+ | No log | 2.0 | 12 | 0.8249 | 0.2105 | 0.8327 |
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+ | No log | 2.3333 | 14 | 1.0118 | 0.0851 | 1.0228 |
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+ | No log | 2.6667 | 16 | 0.7586 | 0.1905 | 0.7651 |
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+ | No log | 3.0 | 18 | 0.4977 | 0.375 | 0.5025 |
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+ | No log | 3.3333 | 20 | 0.5065 | 0.3429 | 0.5107 |
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+ | No log | 3.6667 | 22 | 0.5186 | 0.4118 | 0.5205 |
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+ | No log | 4.0 | 24 | 0.7202 | 0.2564 | 0.7199 |
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+ | No log | 4.3333 | 26 | 0.6120 | 0.3889 | 0.6080 |
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+ | No log | 4.6667 | 28 | 0.5684 | 0.3784 | 0.5637 |
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+ | No log | 5.0 | 30 | 0.5531 | 0.3889 | 0.5482 |
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+ | No log | 5.3333 | 32 | 0.6399 | 0.3784 | 0.6320 |
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+ | No log | 5.6667 | 34 | 0.8218 | 0.2632 | 0.8129 |
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+ | No log | 6.0 | 36 | 0.8057 | 0.2632 | 0.7976 |
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+ | No log | 6.3333 | 38 | 0.6262 | 0.3784 | 0.6183 |
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+ | No log | 6.6667 | 40 | 0.6028 | 0.3889 | 0.5950 |
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+ | No log | 7.0 | 42 | 0.6011 | 0.3889 | 0.5943 |
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+ | No log | 7.3333 | 44 | 0.6488 | 0.3158 | 0.6438 |
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+ | No log | 7.6667 | 46 | 0.5939 | 0.3158 | 0.5907 |
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+ | No log | 8.0 | 48 | 0.5456 | 0.4324 | 0.5440 |
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+ | No log | 8.3333 | 50 | 0.5191 | 0.4324 | 0.5183 |
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+ | No log | 8.6667 | 52 | 0.4890 | 0.4324 | 0.4889 |
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+ | No log | 9.0 | 54 | 0.4994 | 0.4324 | 0.4996 |
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+ | No log | 9.3333 | 56 | 0.5265 | 0.4324 | 0.5267 |
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+ | No log | 9.6667 | 58 | 0.5469 | 0.4324 | 0.5468 |
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+ | No log | 10.0 | 60 | 0.5507 | 0.4324 | 0.5505 |
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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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