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arabert_cross_organization_task5_fold6

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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_task5_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_task5_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: 0.5296
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+ - Qwk: 0.7489
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+ - Mse: 0.5305
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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 | 1.4169 | 0.1640 | 1.4166 |
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+ | No log | 0.2667 | 4 | 0.9230 | 0.3339 | 0.9238 |
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+ | No log | 0.4 | 6 | 1.4115 | 0.4671 | 1.4126 |
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+ | No log | 0.5333 | 8 | 1.1236 | 0.5621 | 1.1252 |
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+ | No log | 0.6667 | 10 | 0.7828 | 0.6007 | 0.7841 |
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+ | No log | 0.8 | 12 | 0.6989 | 0.6557 | 0.7002 |
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+ | No log | 0.9333 | 14 | 0.8321 | 0.7305 | 0.8335 |
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+ | No log | 1.0667 | 16 | 0.7821 | 0.7297 | 0.7834 |
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+ | No log | 1.2 | 18 | 0.5976 | 0.7026 | 0.5987 |
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+ | No log | 1.3333 | 20 | 0.6186 | 0.7347 | 0.6197 |
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+ | No log | 1.4667 | 22 | 0.6820 | 0.7525 | 0.6833 |
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+ | No log | 1.6 | 24 | 0.6199 | 0.7565 | 0.6211 |
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+ | No log | 1.7333 | 26 | 0.5771 | 0.7084 | 0.5781 |
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+ | No log | 1.8667 | 28 | 0.6023 | 0.7337 | 0.6032 |
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+ | No log | 2.0 | 30 | 0.7108 | 0.7551 | 0.7119 |
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+ | No log | 2.1333 | 32 | 0.7073 | 0.7504 | 0.7084 |
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+ | No log | 2.2667 | 34 | 0.5846 | 0.7098 | 0.5855 |
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+ | No log | 2.4 | 36 | 0.5420 | 0.7162 | 0.5428 |
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+ | No log | 2.5333 | 38 | 0.5540 | 0.7297 | 0.5549 |
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+ | No log | 2.6667 | 40 | 0.6749 | 0.7673 | 0.6762 |
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+ | No log | 2.8 | 42 | 0.6898 | 0.7776 | 0.6910 |
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+ | No log | 2.9333 | 44 | 0.5753 | 0.7569 | 0.5763 |
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+ | No log | 3.0667 | 46 | 0.5244 | 0.7115 | 0.5252 |
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+ | No log | 3.2 | 48 | 0.5081 | 0.6940 | 0.5088 |
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+ | No log | 3.3333 | 50 | 0.5254 | 0.7274 | 0.5263 |
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+ | No log | 3.4667 | 52 | 0.5548 | 0.7368 | 0.5556 |
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+ | No log | 3.6 | 54 | 0.6214 | 0.7749 | 0.6224 |
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+ | No log | 3.7333 | 56 | 0.5928 | 0.7642 | 0.5937 |
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+ | No log | 3.8667 | 58 | 0.5335 | 0.7287 | 0.5343 |
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+ | No log | 4.0 | 60 | 0.5042 | 0.6752 | 0.5047 |
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+ | No log | 4.1333 | 62 | 0.5119 | 0.6453 | 0.5124 |
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+ | No log | 4.2667 | 64 | 0.5174 | 0.7081 | 0.5180 |
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+ | No log | 4.4 | 66 | 0.6384 | 0.7697 | 0.6394 |
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+ | No log | 4.5333 | 68 | 0.7315 | 0.7872 | 0.7326 |
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+ | No log | 4.6667 | 70 | 0.6496 | 0.7748 | 0.6505 |
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+ | No log | 4.8 | 72 | 0.5301 | 0.7292 | 0.5308 |
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+ | No log | 4.9333 | 74 | 0.4995 | 0.6857 | 0.5001 |
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+ | No log | 5.0667 | 76 | 0.4920 | 0.6723 | 0.4926 |
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+ | No log | 5.2 | 78 | 0.5054 | 0.7441 | 0.5061 |
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+ | No log | 5.3333 | 80 | 0.5271 | 0.7576 | 0.5279 |
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+ | No log | 5.4667 | 82 | 0.5542 | 0.7741 | 0.5551 |
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+ | No log | 5.6 | 84 | 0.5519 | 0.7756 | 0.5529 |
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+ | No log | 5.7333 | 86 | 0.5269 | 0.7591 | 0.5279 |
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+ | No log | 5.8667 | 88 | 0.4992 | 0.7190 | 0.5001 |
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+ | No log | 6.0 | 90 | 0.4899 | 0.6987 | 0.4907 |
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+ | No log | 6.1333 | 92 | 0.5001 | 0.7250 | 0.5010 |
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+ | No log | 6.2667 | 94 | 0.5278 | 0.7506 | 0.5288 |
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+ | No log | 6.4 | 96 | 0.5719 | 0.7785 | 0.5729 |
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+ | No log | 6.5333 | 98 | 0.5579 | 0.7602 | 0.5590 |
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+ | No log | 6.6667 | 100 | 0.5083 | 0.7449 | 0.5092 |
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+ | No log | 6.8 | 102 | 0.4983 | 0.7348 | 0.4992 |
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+ | No log | 6.9333 | 104 | 0.5107 | 0.7421 | 0.5116 |
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+ | No log | 7.0667 | 106 | 0.5437 | 0.7504 | 0.5447 |
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+ | No log | 7.2 | 108 | 0.5707 | 0.7563 | 0.5718 |
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+ | No log | 7.3333 | 110 | 0.5453 | 0.7564 | 0.5463 |
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+ | No log | 7.4667 | 112 | 0.5168 | 0.7345 | 0.5177 |
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+ | No log | 7.6 | 114 | 0.5072 | 0.6851 | 0.5080 |
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+ | No log | 7.7333 | 116 | 0.5096 | 0.6839 | 0.5104 |
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+ | No log | 7.8667 | 118 | 0.5172 | 0.7127 | 0.5180 |
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+ | No log | 8.0 | 120 | 0.5438 | 0.7557 | 0.5448 |
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+ | No log | 8.1333 | 122 | 0.5579 | 0.7462 | 0.5589 |
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+ | No log | 8.2667 | 124 | 0.5500 | 0.7510 | 0.5510 |
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+ | No log | 8.4 | 126 | 0.5347 | 0.7477 | 0.5356 |
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+ | No log | 8.5333 | 128 | 0.5325 | 0.7477 | 0.5334 |
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+ | No log | 8.6667 | 130 | 0.5374 | 0.7495 | 0.5383 |
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+ | No log | 8.8 | 132 | 0.5355 | 0.7495 | 0.5365 |
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+ | No log | 8.9333 | 134 | 0.5332 | 0.7477 | 0.5341 |
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+ | No log | 9.0667 | 136 | 0.5306 | 0.7422 | 0.5315 |
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+ | No log | 9.2 | 138 | 0.5286 | 0.7452 | 0.5295 |
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+ | No log | 9.3333 | 140 | 0.5283 | 0.7489 | 0.5292 |
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+ | No log | 9.4667 | 142 | 0.5296 | 0.7489 | 0.5305 |
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+ | No log | 9.6 | 144 | 0.5299 | 0.7489 | 0.5308 |
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+ | No log | 9.7333 | 146 | 0.5289 | 0.7360 | 0.5299 |
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+ | No log | 9.8667 | 148 | 0.5295 | 0.7489 | 0.5304 |
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+ | No log | 10.0 | 150 | 0.5296 | 0.7489 | 0.5305 |
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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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