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arabert_cross_organization_task7_fold5

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bert
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  1. README.md +132 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
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_organization_task7_fold4
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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_organization_task7_fold4
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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: 0.5739
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+ - Qwk: 0.7967
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+ - Mse: 0.5739
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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: 64
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+ - eval_batch_size: 64
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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 | 0.1333 | 2 | 1.9448 | 0.1649 | 1.9447 |
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+ | No log | 0.2667 | 4 | 1.4779 | 0.0771 | 1.4779 |
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+ | No log | 0.4 | 6 | 1.3512 | 0.4234 | 1.3512 |
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+ | No log | 0.5333 | 8 | 0.9818 | 0.5170 | 0.9818 |
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+ | No log | 0.6667 | 10 | 0.9848 | 0.7218 | 0.9848 |
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+ | No log | 0.8 | 12 | 0.7546 | 0.7580 | 0.7546 |
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+ | No log | 0.9333 | 14 | 0.6613 | 0.7635 | 0.6613 |
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+ | No log | 1.0667 | 16 | 0.5901 | 0.7415 | 0.5901 |
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+ | No log | 1.2 | 18 | 0.5891 | 0.6836 | 0.5891 |
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+ | No log | 1.3333 | 20 | 0.6666 | 0.7927 | 0.6666 |
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+ | No log | 1.4667 | 22 | 0.7821 | 0.7742 | 0.7821 |
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+ | No log | 1.6 | 24 | 0.5788 | 0.7710 | 0.5788 |
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+ | No log | 1.7333 | 26 | 0.5726 | 0.6635 | 0.5726 |
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+ | No log | 1.8667 | 28 | 0.5773 | 0.7575 | 0.5773 |
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+ | No log | 2.0 | 30 | 0.8482 | 0.7672 | 0.8482 |
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+ | No log | 2.1333 | 32 | 0.9640 | 0.7499 | 0.9640 |
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+ | No log | 2.2667 | 34 | 0.7191 | 0.7738 | 0.7191 |
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+ | No log | 2.4 | 36 | 0.5565 | 0.7624 | 0.5565 |
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+ | No log | 2.5333 | 38 | 0.5998 | 0.6630 | 0.5998 |
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+ | No log | 2.6667 | 40 | 0.5526 | 0.7554 | 0.5526 |
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+ | No log | 2.8 | 42 | 0.6355 | 0.7866 | 0.6355 |
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+ | No log | 2.9333 | 44 | 0.7893 | 0.7696 | 0.7893 |
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+ | No log | 3.0667 | 46 | 0.7015 | 0.7820 | 0.7015 |
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+ | No log | 3.2 | 48 | 0.5349 | 0.7719 | 0.5349 |
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+ | No log | 3.3333 | 50 | 0.5250 | 0.7364 | 0.5250 |
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+ | No log | 3.4667 | 52 | 0.5324 | 0.7720 | 0.5324 |
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+ | No log | 3.6 | 54 | 0.6922 | 0.7790 | 0.6922 |
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+ | No log | 3.7333 | 56 | 0.7969 | 0.7647 | 0.7969 |
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+ | No log | 3.8667 | 58 | 0.7515 | 0.7687 | 0.7515 |
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+ | No log | 4.0 | 60 | 0.5754 | 0.7791 | 0.5754 |
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+ | No log | 4.1333 | 62 | 0.5295 | 0.7890 | 0.5295 |
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+ | No log | 4.2667 | 64 | 0.5568 | 0.7950 | 0.5568 |
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+ | No log | 4.4 | 66 | 0.6597 | 0.7830 | 0.6597 |
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+ | No log | 4.5333 | 68 | 0.7200 | 0.7855 | 0.7200 |
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+ | No log | 4.6667 | 70 | 0.6382 | 0.7912 | 0.6382 |
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+ | No log | 4.8 | 72 | 0.5464 | 0.7964 | 0.5464 |
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+ | No log | 4.9333 | 74 | 0.5642 | 0.7927 | 0.5642 |
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+ | No log | 5.0667 | 76 | 0.5529 | 0.7877 | 0.5529 |
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+ | No log | 5.2 | 78 | 0.5685 | 0.7941 | 0.5685 |
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+ | No log | 5.3333 | 80 | 0.5692 | 0.8019 | 0.5692 |
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+ | No log | 5.4667 | 82 | 0.5649 | 0.8048 | 0.5649 |
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+ | No log | 5.6 | 84 | 0.5735 | 0.8008 | 0.5735 |
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+ | No log | 5.7333 | 86 | 0.5626 | 0.7884 | 0.5626 |
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+ | No log | 5.8667 | 88 | 0.5496 | 0.7807 | 0.5496 |
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+ | No log | 6.0 | 90 | 0.5597 | 0.7832 | 0.5597 |
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+ | No log | 6.1333 | 92 | 0.5892 | 0.8044 | 0.5892 |
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+ | No log | 6.2667 | 94 | 0.5985 | 0.8021 | 0.5985 |
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+ | No log | 6.4 | 96 | 0.5764 | 0.7946 | 0.5764 |
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+ | No log | 6.5333 | 98 | 0.5254 | 0.7832 | 0.5254 |
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+ | No log | 6.6667 | 100 | 0.5198 | 0.7806 | 0.5198 |
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+ | No log | 6.8 | 102 | 0.5624 | 0.7979 | 0.5624 |
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+ | No log | 6.9333 | 104 | 0.5920 | 0.7935 | 0.5920 |
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+ | No log | 7.0667 | 106 | 0.6267 | 0.8062 | 0.6267 |
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+ | No log | 7.2 | 108 | 0.6433 | 0.8077 | 0.6433 |
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+ | No log | 7.3333 | 110 | 0.5670 | 0.7975 | 0.5670 |
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+ | No log | 7.4667 | 112 | 0.5349 | 0.7881 | 0.5349 |
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+ | No log | 7.6 | 114 | 0.5360 | 0.7932 | 0.5360 |
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+ | No log | 7.7333 | 116 | 0.5494 | 0.7932 | 0.5494 |
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+ | No log | 7.8667 | 118 | 0.5884 | 0.8142 | 0.5884 |
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+ | No log | 8.0 | 120 | 0.6313 | 0.8158 | 0.6313 |
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+ | No log | 8.1333 | 122 | 0.6069 | 0.8159 | 0.6069 |
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+ | No log | 8.2667 | 124 | 0.5732 | 0.8053 | 0.5732 |
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+ | No log | 8.4 | 126 | 0.5567 | 0.7975 | 0.5567 |
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+ | No log | 8.5333 | 128 | 0.5440 | 0.7789 | 0.5440 |
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+ | No log | 8.6667 | 130 | 0.5462 | 0.7810 | 0.5462 |
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+ | No log | 8.8 | 132 | 0.5522 | 0.7873 | 0.5522 |
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+ | No log | 8.9333 | 134 | 0.5458 | 0.7876 | 0.5458 |
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+ | No log | 9.0667 | 136 | 0.5390 | 0.7905 | 0.5390 |
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+ | No log | 9.2 | 138 | 0.5392 | 0.7901 | 0.5392 |
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+ | No log | 9.3333 | 140 | 0.5491 | 0.7943 | 0.5491 |
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+ | No log | 9.4667 | 142 | 0.5675 | 0.7937 | 0.5675 |
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+ | No log | 9.6 | 144 | 0.5753 | 0.7967 | 0.5753 |
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+ | No log | 9.7333 | 146 | 0.5745 | 0.7967 | 0.5745 |
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+ | No log | 9.8667 | 148 | 0.5743 | 0.7967 | 0.5743 |
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+ | No log | 10.0 | 150 | 0.5739 | 0.7967 | 0.5739 |
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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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