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arabert_cross_organization_task7_fold1

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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_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_cross_organization_task7_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: 0.7058
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+ - Qwk: 0.5975
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+ - Mse: 0.7057
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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 | 3.8864 | 0.0541 | 3.8830 |
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+ | No log | 0.2667 | 4 | 2.5481 | 0.0079 | 2.5460 |
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+ | No log | 0.4 | 6 | 1.6996 | 0.2037 | 1.6983 |
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+ | No log | 0.5333 | 8 | 1.3776 | 0.2939 | 1.3765 |
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+ | No log | 0.6667 | 10 | 1.3355 | 0.3347 | 1.3345 |
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+ | No log | 0.8 | 12 | 1.2773 | 0.3590 | 1.2767 |
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+ | No log | 0.9333 | 14 | 1.4284 | 0.3342 | 1.4277 |
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+ | No log | 1.0667 | 16 | 1.1577 | 0.3897 | 1.1573 |
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+ | No log | 1.2 | 18 | 0.9645 | 0.4536 | 0.9641 |
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+ | No log | 1.3333 | 20 | 1.1001 | 0.4324 | 1.0996 |
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+ | No log | 1.4667 | 22 | 1.0995 | 0.4399 | 1.0990 |
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+ | No log | 1.6 | 24 | 0.9787 | 0.4704 | 0.9783 |
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+ | No log | 1.7333 | 26 | 0.8116 | 0.5438 | 0.8112 |
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+ | No log | 1.8667 | 28 | 0.8107 | 0.5471 | 0.8103 |
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+ | No log | 2.0 | 30 | 0.9069 | 0.4983 | 0.9063 |
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+ | No log | 2.1333 | 32 | 0.8730 | 0.5346 | 0.8726 |
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+ | No log | 2.2667 | 34 | 0.9141 | 0.5284 | 0.9138 |
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+ | No log | 2.4 | 36 | 0.7576 | 0.6068 | 0.7578 |
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+ | No log | 2.5333 | 38 | 0.7560 | 0.6087 | 0.7563 |
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+ | No log | 2.6667 | 40 | 0.8005 | 0.6059 | 0.8007 |
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+ | No log | 2.8 | 42 | 0.9430 | 0.5399 | 0.9430 |
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+ | No log | 2.9333 | 44 | 0.8990 | 0.5542 | 0.8990 |
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+ | No log | 3.0667 | 46 | 0.8494 | 0.5672 | 0.8494 |
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+ | No log | 3.2 | 48 | 0.8095 | 0.5752 | 0.8094 |
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+ | No log | 3.3333 | 50 | 0.7424 | 0.6012 | 0.7425 |
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+ | No log | 3.4667 | 52 | 0.7009 | 0.6100 | 0.7011 |
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+ | No log | 3.6 | 54 | 0.7078 | 0.6055 | 0.7080 |
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+ | No log | 3.7333 | 56 | 0.8222 | 0.5652 | 0.8223 |
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+ | No log | 3.8667 | 58 | 0.8211 | 0.5742 | 0.8212 |
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+ | No log | 4.0 | 60 | 0.7561 | 0.5870 | 0.7562 |
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+ | No log | 4.1333 | 62 | 0.6981 | 0.6055 | 0.6982 |
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+ | No log | 4.2667 | 64 | 0.6970 | 0.6051 | 0.6971 |
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+ | No log | 4.4 | 66 | 0.7327 | 0.5991 | 0.7326 |
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+ | No log | 4.5333 | 68 | 0.8809 | 0.5424 | 0.8806 |
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+ | No log | 4.6667 | 70 | 0.8266 | 0.5559 | 0.8263 |
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+ | No log | 4.8 | 72 | 0.7118 | 0.5954 | 0.7117 |
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+ | No log | 4.9333 | 74 | 0.6923 | 0.6040 | 0.6923 |
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+ | No log | 5.0667 | 76 | 0.7259 | 0.5893 | 0.7259 |
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+ | No log | 5.2 | 78 | 0.7425 | 0.5832 | 0.7425 |
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+ | No log | 5.3333 | 80 | 0.6843 | 0.6051 | 0.6843 |
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+ | No log | 5.4667 | 82 | 0.6647 | 0.6118 | 0.6647 |
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+ | No log | 5.6 | 84 | 0.6805 | 0.6104 | 0.6804 |
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+ | No log | 5.7333 | 86 | 0.7021 | 0.5992 | 0.7019 |
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+ | No log | 5.8667 | 88 | 0.6896 | 0.6158 | 0.6894 |
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+ | No log | 6.0 | 90 | 0.6658 | 0.6204 | 0.6657 |
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+ | No log | 6.1333 | 92 | 0.6774 | 0.6118 | 0.6774 |
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+ | No log | 6.2667 | 94 | 0.7472 | 0.5748 | 0.7471 |
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+ | No log | 6.4 | 96 | 0.8444 | 0.5491 | 0.8442 |
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+ | No log | 6.5333 | 98 | 0.8227 | 0.5502 | 0.8225 |
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+ | No log | 6.6667 | 100 | 0.7455 | 0.5671 | 0.7453 |
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+ | No log | 6.8 | 102 | 0.7062 | 0.5907 | 0.7060 |
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+ | No log | 6.9333 | 104 | 0.6458 | 0.6143 | 0.6457 |
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+ | No log | 7.0667 | 106 | 0.6289 | 0.6250 | 0.6288 |
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+ | No log | 7.2 | 108 | 0.6373 | 0.6205 | 0.6371 |
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+ | No log | 7.3333 | 110 | 0.6669 | 0.6113 | 0.6666 |
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+ | No log | 7.4667 | 112 | 0.7012 | 0.6035 | 0.7009 |
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+ | No log | 7.6 | 114 | 0.6942 | 0.5999 | 0.6939 |
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+ | No log | 7.7333 | 116 | 0.6669 | 0.6083 | 0.6668 |
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+ | No log | 7.8667 | 118 | 0.6470 | 0.6177 | 0.6469 |
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+ | No log | 8.0 | 120 | 0.6439 | 0.6292 | 0.6438 |
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+ | No log | 8.1333 | 122 | 0.6501 | 0.6098 | 0.6500 |
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+ | No log | 8.2667 | 124 | 0.6801 | 0.6013 | 0.6800 |
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+ | No log | 8.4 | 126 | 0.7382 | 0.5951 | 0.7380 |
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+ | No log | 8.5333 | 128 | 0.7558 | 0.5885 | 0.7556 |
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+ | No log | 8.6667 | 130 | 0.7227 | 0.5947 | 0.7225 |
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+ | No log | 8.8 | 132 | 0.6780 | 0.6014 | 0.6780 |
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+ | No log | 8.9333 | 134 | 0.6554 | 0.6101 | 0.6554 |
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+ | No log | 9.0667 | 136 | 0.6520 | 0.6154 | 0.6520 |
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+ | No log | 9.2 | 138 | 0.6597 | 0.6100 | 0.6596 |
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+ | No log | 9.3333 | 140 | 0.6690 | 0.6141 | 0.6689 |
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+ | No log | 9.4667 | 142 | 0.6790 | 0.6041 | 0.6789 |
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+ | No log | 9.6 | 144 | 0.6910 | 0.5976 | 0.6909 |
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+ | No log | 9.7333 | 146 | 0.7025 | 0.5975 | 0.7024 |
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+ | No log | 9.8667 | 148 | 0.7059 | 0.5975 | 0.7057 |
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+ | No log | 10.0 | 150 | 0.7058 | 0.5975 | 0.7057 |
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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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