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arabert_baseline_vocabulary_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_vocabulary_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_vocabulary_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: 0.4495
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+ - Qwk: 0.5070
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+ - Mse: 0.4537
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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 | 6.1233 | -0.0049 | 6.0762 |
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+ | No log | 0.6667 | 4 | 2.5238 | 0.0438 | 2.5221 |
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+ | No log | 1.0 | 6 | 1.6945 | 0.0677 | 1.7016 |
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+ | No log | 1.3333 | 8 | 0.6878 | 0.2489 | 0.6921 |
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+ | No log | 1.6667 | 10 | 0.5146 | 0.2759 | 0.5204 |
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+ | No log | 2.0 | 12 | 0.6279 | 0.2036 | 0.6327 |
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+ | No log | 2.3333 | 14 | 1.1313 | 0.0888 | 1.1412 |
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+ | No log | 2.6667 | 16 | 0.8112 | 0.1508 | 0.8178 |
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+ | No log | 3.0 | 18 | 0.5968 | 0.3475 | 0.6025 |
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+ | No log | 3.3333 | 20 | 0.5587 | 0.3475 | 0.5649 |
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+ | No log | 3.6667 | 22 | 0.3908 | 0.4828 | 0.3937 |
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+ | No log | 4.0 | 24 | 0.3808 | 0.4828 | 0.3836 |
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+ | No log | 4.3333 | 26 | 0.5135 | 0.4190 | 0.5196 |
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+ | No log | 4.6667 | 28 | 0.7114 | 0.2825 | 0.7220 |
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+ | No log | 5.0 | 30 | 0.6755 | 0.3456 | 0.6851 |
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+ | No log | 5.3333 | 32 | 0.4917 | 0.5259 | 0.4969 |
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+ | No log | 5.6667 | 34 | 0.4653 | 0.5679 | 0.4693 |
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+ | No log | 6.0 | 36 | 0.4650 | 0.5917 | 0.4695 |
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+ | No log | 6.3333 | 38 | 0.4511 | 0.5817 | 0.4552 |
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+ | No log | 6.6667 | 40 | 0.4643 | 0.4296 | 0.4687 |
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+ | No log | 7.0 | 42 | 0.4888 | 0.3970 | 0.4933 |
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+ | No log | 7.3333 | 44 | 0.4987 | 0.3970 | 0.5033 |
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+ | No log | 7.6667 | 46 | 0.4509 | 0.5191 | 0.4546 |
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+ | No log | 8.0 | 48 | 0.3997 | 0.5917 | 0.4021 |
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+ | No log | 8.3333 | 50 | 0.4026 | 0.5917 | 0.4048 |
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+ | No log | 8.6667 | 52 | 0.4048 | 0.5817 | 0.4074 |
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+ | No log | 9.0 | 54 | 0.4217 | 0.5366 | 0.4250 |
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+ | No log | 9.3333 | 56 | 0.4348 | 0.5366 | 0.4386 |
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+ | No log | 9.6667 | 58 | 0.4485 | 0.5070 | 0.4527 |
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+ | No log | 10.0 | 60 | 0.4495 | 0.5070 | 0.4537 |
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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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