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arabert_baseline_organization_task1_fold1

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  1. README.md +114 -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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+ library_name: transformers
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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_organization_task1_fold0
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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_organization_task1_fold0
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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: 0.6571
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+ - Qwk: 0.7618
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+ - Mse: 0.6571
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+ - Rmse: 0.8106
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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: 8
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+ - eval_batch_size: 8
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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 | Rmse |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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+ | No log | 0.1818 | 2 | 4.7070 | -0.0581 | 4.7070 | 2.1696 |
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+ | No log | 0.3636 | 4 | 2.5400 | 0.0 | 2.5400 | 1.5937 |
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+ | No log | 0.5455 | 6 | 1.5937 | 0.1750 | 1.5937 | 1.2624 |
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+ | No log | 0.7273 | 8 | 1.0172 | 0.1582 | 1.0172 | 1.0086 |
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+ | No log | 0.9091 | 10 | 0.9129 | 0.4929 | 0.9129 | 0.9555 |
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+ | No log | 1.0909 | 12 | 0.8654 | 0.4763 | 0.8654 | 0.9302 |
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+ | No log | 1.2727 | 14 | 0.8549 | 0.5268 | 0.8549 | 0.9246 |
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+ | No log | 1.4545 | 16 | 0.7991 | 0.4934 | 0.7991 | 0.8939 |
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+ | No log | 1.6364 | 18 | 0.8510 | 0.5288 | 0.8510 | 0.9225 |
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+ | No log | 1.8182 | 20 | 0.8834 | 0.5288 | 0.8834 | 0.9399 |
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+ | No log | 2.0 | 22 | 0.9534 | 0.5304 | 0.9534 | 0.9764 |
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+ | No log | 2.1818 | 24 | 0.8760 | 0.5698 | 0.8760 | 0.9360 |
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+ | No log | 2.3636 | 26 | 0.7263 | 0.6182 | 0.7263 | 0.8522 |
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+ | No log | 2.5455 | 28 | 0.7632 | 0.5093 | 0.7632 | 0.8736 |
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+ | No log | 2.7273 | 30 | 0.7407 | 0.5845 | 0.7407 | 0.8606 |
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+ | No log | 2.9091 | 32 | 0.8857 | 0.5674 | 0.8857 | 0.9411 |
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+ | No log | 3.0909 | 34 | 0.9844 | 0.6301 | 0.9844 | 0.9922 |
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+ | No log | 3.2727 | 36 | 0.9963 | 0.6301 | 0.9963 | 0.9981 |
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+ | No log | 3.4545 | 38 | 0.8665 | 0.6209 | 0.8665 | 0.9308 |
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+ | No log | 3.6364 | 40 | 0.7832 | 0.6354 | 0.7832 | 0.8850 |
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+ | No log | 3.8182 | 42 | 0.8425 | 0.6715 | 0.8425 | 0.9179 |
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+ | No log | 4.0 | 44 | 0.8849 | 0.5591 | 0.8849 | 0.9407 |
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+ | No log | 4.1818 | 46 | 0.8290 | 0.5862 | 0.8290 | 0.9105 |
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+ | No log | 4.3636 | 48 | 0.7263 | 0.6866 | 0.7263 | 0.8523 |
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+ | No log | 4.5455 | 50 | 0.7922 | 0.7786 | 0.7922 | 0.8901 |
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+ | No log | 4.7273 | 52 | 0.9204 | 0.7037 | 0.9204 | 0.9594 |
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+ | No log | 4.9091 | 54 | 0.8995 | 0.6836 | 0.8995 | 0.9484 |
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+ | No log | 5.0909 | 56 | 0.7549 | 0.6968 | 0.7549 | 0.8688 |
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+ | No log | 5.2727 | 58 | 0.6694 | 0.6539 | 0.6694 | 0.8182 |
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+ | No log | 5.4545 | 60 | 0.6618 | 0.6102 | 0.6618 | 0.8135 |
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+ | No log | 5.6364 | 62 | 0.6895 | 0.7449 | 0.6895 | 0.8304 |
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+ | No log | 5.8182 | 64 | 0.7854 | 0.7181 | 0.7854 | 0.8863 |
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+ | No log | 6.0 | 66 | 0.8328 | 0.7181 | 0.8328 | 0.9126 |
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+ | No log | 6.1818 | 68 | 0.8134 | 0.6764 | 0.8134 | 0.9019 |
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+ | No log | 6.3636 | 70 | 0.8151 | 0.7363 | 0.8151 | 0.9028 |
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+ | No log | 6.5455 | 72 | 0.7853 | 0.7363 | 0.7853 | 0.8862 |
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+ | No log | 6.7273 | 74 | 0.7443 | 0.7786 | 0.7443 | 0.8627 |
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+ | No log | 6.9091 | 76 | 0.7261 | 0.7618 | 0.7261 | 0.8521 |
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+ | No log | 7.0909 | 78 | 0.7315 | 0.7008 | 0.7315 | 0.8553 |
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+ | No log | 7.2727 | 80 | 0.7472 | 0.7181 | 0.7472 | 0.8644 |
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+ | No log | 7.4545 | 82 | 0.7769 | 0.7181 | 0.7769 | 0.8814 |
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+ | No log | 7.6364 | 84 | 0.7755 | 0.6893 | 0.7755 | 0.8807 |
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+ | No log | 7.8182 | 86 | 0.7231 | 0.7008 | 0.7231 | 0.8504 |
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+ | No log | 8.0 | 88 | 0.6836 | 0.7008 | 0.6836 | 0.8268 |
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+ | No log | 8.1818 | 90 | 0.6640 | 0.7618 | 0.6640 | 0.8148 |
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+ | No log | 8.3636 | 92 | 0.6503 | 0.7618 | 0.6503 | 0.8064 |
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+ | No log | 8.5455 | 94 | 0.6490 | 0.7371 | 0.6490 | 0.8056 |
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+ | No log | 8.7273 | 96 | 0.6511 | 0.7618 | 0.6511 | 0.8069 |
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+ | No log | 8.9091 | 98 | 0.6544 | 0.7618 | 0.6544 | 0.8090 |
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+ | No log | 9.0909 | 100 | 0.6537 | 0.7618 | 0.6537 | 0.8085 |
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+ | No log | 9.2727 | 102 | 0.6535 | 0.7618 | 0.6535 | 0.8084 |
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+ | No log | 9.4545 | 104 | 0.6564 | 0.7618 | 0.6564 | 0.8102 |
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+ | No log | 9.6364 | 106 | 0.6574 | 0.7618 | 0.6574 | 0.8108 |
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+ | No log | 9.8182 | 108 | 0.6573 | 0.7618 | 0.6573 | 0.8107 |
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+ | No log | 10.0 | 110 | 0.6571 | 0.7618 | 0.6571 | 0.8106 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu118
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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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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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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": "4.44.2",
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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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