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arabert_cross_organization_task6_fold6

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bert
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  1. README.md +137 -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_task6_fold5
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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_task6_fold5
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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: 0.4946
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+ - Qwk: 0.7585
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+ - Mse: 0.4958
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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 | 0.125 | 2 | 1.3569 | 0.2073 | 1.3566 |
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+ | No log | 0.25 | 4 | 0.8917 | 0.3804 | 0.8926 |
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+ | No log | 0.375 | 6 | 1.3940 | 0.5002 | 1.3954 |
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+ | No log | 0.5 | 8 | 1.1581 | 0.5869 | 1.1599 |
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+ | No log | 0.625 | 10 | 0.8359 | 0.5005 | 0.8373 |
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+ | No log | 0.75 | 12 | 0.8352 | 0.6240 | 0.8368 |
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+ | No log | 0.875 | 14 | 0.7817 | 0.6808 | 0.7831 |
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+ | No log | 1.0 | 16 | 0.6321 | 0.7284 | 0.6335 |
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+ | No log | 1.125 | 18 | 0.5497 | 0.7013 | 0.5509 |
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+ | No log | 1.25 | 20 | 0.6330 | 0.7733 | 0.6344 |
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+ | No log | 1.375 | 22 | 0.9312 | 0.7286 | 0.9326 |
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+ | No log | 1.5 | 24 | 0.9410 | 0.7373 | 0.9424 |
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+ | No log | 1.625 | 26 | 0.6704 | 0.7704 | 0.6717 |
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+ | No log | 1.75 | 28 | 0.5140 | 0.6654 | 0.5150 |
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+ | No log | 1.875 | 30 | 0.5258 | 0.6207 | 0.5266 |
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+ | No log | 2.0 | 32 | 0.4993 | 0.7208 | 0.5003 |
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+ | No log | 2.125 | 34 | 0.5995 | 0.7661 | 0.6008 |
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+ | No log | 2.25 | 36 | 0.6850 | 0.7821 | 0.6865 |
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+ | No log | 2.375 | 38 | 0.6445 | 0.7839 | 0.6460 |
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+ | No log | 2.5 | 40 | 0.5426 | 0.7571 | 0.5438 |
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+ | No log | 2.625 | 42 | 0.5374 | 0.7584 | 0.5385 |
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+ | No log | 2.75 | 44 | 0.5401 | 0.7508 | 0.5413 |
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+ | No log | 2.875 | 46 | 0.5560 | 0.7716 | 0.5572 |
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+ | No log | 3.0 | 48 | 0.5460 | 0.7794 | 0.5472 |
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+ | No log | 3.125 | 50 | 0.5399 | 0.7800 | 0.5410 |
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+ | No log | 3.25 | 52 | 0.4966 | 0.7520 | 0.4976 |
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+ | No log | 3.375 | 54 | 0.4783 | 0.7484 | 0.4792 |
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+ | No log | 3.5 | 56 | 0.5055 | 0.7654 | 0.5064 |
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+ | No log | 3.625 | 58 | 0.4947 | 0.7569 | 0.4955 |
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+ | No log | 3.75 | 60 | 0.5387 | 0.7681 | 0.5397 |
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+ | No log | 3.875 | 62 | 0.6614 | 0.8077 | 0.6627 |
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+ | No log | 4.0 | 64 | 0.6356 | 0.8243 | 0.6369 |
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+ | No log | 4.125 | 66 | 0.4951 | 0.7545 | 0.4959 |
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+ | No log | 4.25 | 68 | 0.4581 | 0.7123 | 0.4588 |
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+ | No log | 4.375 | 70 | 0.4776 | 0.7450 | 0.4784 |
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+ | No log | 4.5 | 72 | 0.5531 | 0.7823 | 0.5543 |
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+ | No log | 4.625 | 74 | 0.5792 | 0.8103 | 0.5805 |
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+ | No log | 4.75 | 76 | 0.5337 | 0.7801 | 0.5349 |
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+ | No log | 4.875 | 78 | 0.4762 | 0.7597 | 0.4771 |
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+ | No log | 5.0 | 80 | 0.4679 | 0.7390 | 0.4687 |
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+ | No log | 5.125 | 82 | 0.4753 | 0.7488 | 0.4762 |
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+ | No log | 5.25 | 84 | 0.5131 | 0.7689 | 0.5143 |
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+ | No log | 5.375 | 86 | 0.5442 | 0.7925 | 0.5455 |
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+ | No log | 5.5 | 88 | 0.5074 | 0.7624 | 0.5086 |
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+ | No log | 5.625 | 90 | 0.4586 | 0.7435 | 0.4596 |
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+ | No log | 5.75 | 92 | 0.4498 | 0.7269 | 0.4507 |
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+ | No log | 5.875 | 94 | 0.4604 | 0.7354 | 0.4614 |
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+ | No log | 6.0 | 96 | 0.5055 | 0.7753 | 0.5068 |
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+ | No log | 6.125 | 98 | 0.5761 | 0.7991 | 0.5776 |
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+ | No log | 6.25 | 100 | 0.5566 | 0.7942 | 0.5580 |
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+ | No log | 6.375 | 102 | 0.5097 | 0.7509 | 0.5109 |
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+ | No log | 6.5 | 104 | 0.4777 | 0.7454 | 0.4787 |
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+ | No log | 6.625 | 106 | 0.4691 | 0.7225 | 0.4700 |
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+ | No log | 6.75 | 108 | 0.4712 | 0.7283 | 0.4720 |
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+ | No log | 6.875 | 110 | 0.4817 | 0.7509 | 0.4827 |
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+ | No log | 7.0 | 112 | 0.4772 | 0.7454 | 0.4781 |
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+ | No log | 7.125 | 114 | 0.4790 | 0.7490 | 0.4799 |
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+ | No log | 7.25 | 116 | 0.5003 | 0.7688 | 0.5014 |
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+ | No log | 7.375 | 118 | 0.5353 | 0.7753 | 0.5366 |
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+ | No log | 7.5 | 120 | 0.5284 | 0.7670 | 0.5297 |
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+ | No log | 7.625 | 122 | 0.5075 | 0.7556 | 0.5086 |
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+ | No log | 7.75 | 124 | 0.4824 | 0.7527 | 0.4834 |
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+ | No log | 7.875 | 126 | 0.4782 | 0.7527 | 0.4792 |
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+ | No log | 8.0 | 128 | 0.4745 | 0.7554 | 0.4755 |
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+ | No log | 8.125 | 130 | 0.4803 | 0.7523 | 0.4813 |
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+ | No log | 8.25 | 132 | 0.4946 | 0.7614 | 0.4957 |
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+ | No log | 8.375 | 134 | 0.4938 | 0.7558 | 0.4950 |
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+ | No log | 8.5 | 136 | 0.4888 | 0.7558 | 0.4900 |
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+ | No log | 8.625 | 138 | 0.4775 | 0.7507 | 0.4786 |
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+ | No log | 8.75 | 140 | 0.4714 | 0.7474 | 0.4724 |
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+ | No log | 8.875 | 142 | 0.4668 | 0.7410 | 0.4677 |
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+ | No log | 9.0 | 144 | 0.4672 | 0.7382 | 0.4681 |
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+ | No log | 9.125 | 146 | 0.4689 | 0.7433 | 0.4698 |
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+ | No log | 9.25 | 148 | 0.4738 | 0.7571 | 0.4748 |
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+ | No log | 9.375 | 150 | 0.4814 | 0.7511 | 0.4825 |
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+ | No log | 9.5 | 152 | 0.4866 | 0.7567 | 0.4877 |
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+ | No log | 9.625 | 154 | 0.4900 | 0.7585 | 0.4911 |
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+ | No log | 9.75 | 156 | 0.4909 | 0.7585 | 0.4921 |
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+ | No log | 9.875 | 158 | 0.4930 | 0.7585 | 0.4942 |
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+ | No log | 10.0 | 160 | 0.4946 | 0.7585 | 0.4958 |
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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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