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arabert_cross_organization_task7_fold3

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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_task7_fold2
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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_fold2
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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: 1.2954
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+ - Qwk: 0.0375
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+ - Mse: 1.2921
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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 | 5.8813 | 0.0002 | 5.8787 |
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+ | No log | 0.25 | 4 | 2.9326 | 0.0187 | 2.9290 |
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+ | No log | 0.375 | 6 | 1.3335 | 0.0483 | 1.3299 |
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+ | No log | 0.5 | 8 | 0.8293 | 0.1248 | 0.8268 |
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+ | No log | 0.625 | 10 | 0.8358 | 0.0116 | 0.8324 |
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+ | No log | 0.75 | 12 | 0.9072 | 0.0353 | 0.9036 |
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+ | No log | 0.875 | 14 | 0.8593 | -0.0221 | 0.8566 |
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+ | No log | 1.0 | 16 | 0.9323 | 0.0032 | 0.9303 |
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+ | No log | 1.125 | 18 | 0.9667 | -0.0502 | 0.9646 |
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+ | No log | 1.25 | 20 | 1.0888 | 0.0 | 1.0865 |
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+ | No log | 1.375 | 22 | 1.3618 | 0.0 | 1.3592 |
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+ | No log | 1.5 | 24 | 1.5735 | 0.0025 | 1.5707 |
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+ | No log | 1.625 | 26 | 1.5108 | 0.0226 | 1.5078 |
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+ | No log | 1.75 | 28 | 1.4546 | 0.0226 | 1.4515 |
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+ | No log | 1.875 | 30 | 1.4052 | 0.0182 | 1.4022 |
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+ | No log | 2.0 | 32 | 1.2679 | 0.0182 | 1.2650 |
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+ | No log | 2.125 | 34 | 1.3052 | 0.0182 | 1.3025 |
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+ | No log | 2.25 | 36 | 1.3852 | 0.0 | 1.3827 |
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+ | No log | 2.375 | 38 | 1.3541 | 0.0182 | 1.3513 |
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+ | No log | 2.5 | 40 | 1.1151 | 0.0182 | 1.1121 |
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+ | No log | 2.625 | 42 | 1.0936 | 0.0182 | 1.0906 |
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+ | No log | 2.75 | 44 | 1.2306 | 0.0182 | 1.2277 |
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+ | No log | 2.875 | 46 | 1.3712 | 0.0182 | 1.3683 |
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+ | No log | 3.0 | 48 | 1.3673 | 0.0182 | 1.3643 |
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+ | No log | 3.125 | 50 | 1.1531 | -0.0018 | 1.1496 |
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+ | No log | 3.25 | 52 | 1.1023 | 0.0034 | 1.0987 |
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+ | No log | 3.375 | 54 | 1.2866 | 0.0421 | 1.2831 |
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+ | No log | 3.5 | 56 | 1.5177 | 0.0289 | 1.5145 |
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+ | No log | 3.625 | 58 | 1.5134 | 0.0204 | 1.5104 |
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+ | No log | 3.75 | 60 | 1.4435 | 0.0182 | 1.4406 |
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+ | No log | 3.875 | 62 | 1.4043 | 0.0204 | 1.4012 |
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+ | No log | 4.0 | 64 | 1.3959 | 0.0226 | 1.3928 |
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+ | No log | 4.125 | 66 | 1.2847 | 0.0204 | 1.2816 |
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+ | No log | 4.25 | 68 | 1.1653 | 0.0182 | 1.1623 |
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+ | No log | 4.375 | 70 | 1.1255 | 0.0155 | 1.1225 |
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+ | No log | 4.5 | 72 | 1.1599 | 0.0182 | 1.1570 |
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+ | No log | 4.625 | 74 | 1.1826 | 0.0155 | 1.1796 |
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+ | No log | 4.75 | 76 | 1.2119 | 0.0182 | 1.2088 |
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+ | No log | 4.875 | 78 | 1.2305 | 0.0182 | 1.2274 |
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+ | No log | 5.0 | 80 | 1.3039 | 0.0247 | 1.3006 |
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+ | No log | 5.125 | 82 | 1.2190 | 0.0196 | 1.2157 |
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+ | No log | 5.25 | 84 | 1.2372 | 0.0238 | 1.2338 |
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+ | No log | 5.375 | 86 | 1.3596 | 0.0289 | 1.3563 |
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+ | No log | 5.5 | 88 | 1.3896 | 0.0268 | 1.3865 |
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+ | No log | 5.625 | 90 | 1.4002 | 0.0268 | 1.3971 |
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+ | No log | 5.75 | 92 | 1.3231 | 0.0204 | 1.3202 |
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+ | No log | 5.875 | 94 | 1.2852 | 0.0182 | 1.2824 |
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+ | No log | 6.0 | 96 | 1.3081 | 0.0182 | 1.3054 |
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+ | No log | 6.125 | 98 | 1.2707 | 0.0182 | 1.2681 |
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+ | No log | 6.25 | 100 | 1.2533 | 0.0182 | 1.2505 |
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+ | No log | 6.375 | 102 | 1.2295 | 0.0182 | 1.2266 |
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+ | No log | 6.5 | 104 | 1.2384 | 0.0633 | 1.2354 |
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+ | No log | 6.625 | 106 | 1.3078 | 0.0483 | 1.3048 |
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+ | No log | 6.75 | 108 | 1.3657 | 0.0501 | 1.3628 |
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+ | No log | 6.875 | 110 | 1.4466 | 0.0551 | 1.4437 |
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+ | No log | 7.0 | 112 | 1.4426 | 0.0567 | 1.4396 |
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+ | No log | 7.125 | 114 | 1.3478 | 0.0557 | 1.3447 |
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+ | No log | 7.25 | 116 | 1.2982 | 0.1010 | 1.2950 |
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+ | No log | 7.375 | 118 | 1.2917 | 0.0632 | 1.2886 |
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+ | No log | 7.5 | 120 | 1.3501 | 0.0525 | 1.3471 |
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+ | No log | 7.625 | 122 | 1.4125 | 0.0567 | 1.4094 |
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+ | No log | 7.75 | 124 | 1.4720 | 0.0777 | 1.4689 |
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+ | No log | 7.875 | 126 | 1.4728 | 0.0764 | 1.4697 |
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+ | No log | 8.0 | 128 | 1.4105 | 0.0535 | 1.4075 |
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+ | No log | 8.125 | 130 | 1.3530 | 0.0289 | 1.3500 |
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+ | No log | 8.25 | 132 | 1.3150 | 0.0289 | 1.3120 |
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+ | No log | 8.375 | 134 | 1.3406 | 0.0268 | 1.3376 |
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+ | No log | 8.5 | 136 | 1.3885 | 0.0309 | 1.3855 |
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+ | No log | 8.625 | 138 | 1.4249 | 0.0551 | 1.4218 |
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+ | No log | 8.75 | 140 | 1.4578 | 0.0598 | 1.4546 |
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+ | No log | 8.875 | 142 | 1.4364 | 0.0583 | 1.4332 |
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+ | No log | 9.0 | 144 | 1.3917 | 0.0341 | 1.3885 |
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+ | No log | 9.125 | 146 | 1.3599 | 0.0133 | 1.3567 |
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+ | No log | 9.25 | 148 | 1.3391 | 0.0754 | 1.3359 |
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+ | No log | 9.375 | 150 | 1.3212 | 0.0754 | 1.3179 |
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+ | No log | 9.5 | 152 | 1.2992 | 0.0375 | 1.2960 |
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+ | No log | 9.625 | 154 | 1.2901 | 0.0351 | 1.2868 |
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+ | No log | 9.75 | 156 | 1.2864 | 0.0351 | 1.2831 |
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+ | No log | 9.875 | 158 | 1.2913 | 0.0375 | 1.2881 |
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+ | No log | 10.0 | 160 | 1.2954 | 0.0375 | 1.2921 |
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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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