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arabert_cross_development_task1_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_development_task1_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_development_task1_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: 0.3225
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+ - Qwk: 0.7089
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+ - Mse: 0.3218
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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 | 1.6054 | 0.1118 | 1.6042 |
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+ | No log | 0.2667 | 4 | 0.7796 | 0.3420 | 0.7792 |
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+ | No log | 0.4 | 6 | 0.8606 | 0.4875 | 0.8600 |
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+ | No log | 0.5333 | 8 | 0.7185 | 0.6145 | 0.7176 |
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+ | No log | 0.6667 | 10 | 0.4960 | 0.5784 | 0.4951 |
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+ | No log | 0.8 | 12 | 0.4504 | 0.5814 | 0.4497 |
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+ | No log | 0.9333 | 14 | 0.4103 | 0.6104 | 0.4096 |
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+ | No log | 1.0667 | 16 | 0.3725 | 0.6808 | 0.3715 |
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+ | No log | 1.2 | 18 | 0.4101 | 0.8013 | 0.4091 |
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+ | No log | 1.3333 | 20 | 0.3292 | 0.7235 | 0.3286 |
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+ | No log | 1.4667 | 22 | 0.3212 | 0.6809 | 0.3206 |
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+ | No log | 1.6 | 24 | 0.3406 | 0.7512 | 0.3398 |
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+ | No log | 1.7333 | 26 | 0.3852 | 0.7534 | 0.3842 |
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+ | No log | 1.8667 | 28 | 0.3920 | 0.7341 | 0.3909 |
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+ | No log | 2.0 | 30 | 0.4486 | 0.7835 | 0.4475 |
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+ | No log | 2.1333 | 32 | 0.4015 | 0.7929 | 0.4005 |
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+ | No log | 2.2667 | 34 | 0.2966 | 0.7228 | 0.2959 |
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+ | No log | 2.4 | 36 | 0.3163 | 0.6675 | 0.3156 |
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+ | No log | 2.5333 | 38 | 0.2965 | 0.7270 | 0.2958 |
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+ | No log | 2.6667 | 40 | 0.3334 | 0.7868 | 0.3325 |
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+ | No log | 2.8 | 42 | 0.3892 | 0.7967 | 0.3882 |
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+ | No log | 2.9333 | 44 | 0.3635 | 0.7640 | 0.3626 |
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+ | No log | 3.0667 | 46 | 0.3415 | 0.7020 | 0.3408 |
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+ | No log | 3.2 | 48 | 0.3452 | 0.6985 | 0.3445 |
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+ | No log | 3.3333 | 50 | 0.3467 | 0.7485 | 0.3460 |
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+ | No log | 3.4667 | 52 | 0.3606 | 0.7778 | 0.3598 |
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+ | No log | 3.6 | 54 | 0.3419 | 0.7735 | 0.3412 |
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+ | No log | 3.7333 | 56 | 0.3217 | 0.7477 | 0.3210 |
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+ | No log | 3.8667 | 58 | 0.3254 | 0.6951 | 0.3248 |
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+ | No log | 4.0 | 60 | 0.3366 | 0.6811 | 0.3360 |
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+ | No log | 4.1333 | 62 | 0.3255 | 0.7328 | 0.3248 |
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+ | No log | 4.2667 | 64 | 0.3255 | 0.7574 | 0.3248 |
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+ | No log | 4.4 | 66 | 0.3264 | 0.7713 | 0.3257 |
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+ | No log | 4.5333 | 68 | 0.3260 | 0.7538 | 0.3253 |
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+ | No log | 4.6667 | 70 | 0.3303 | 0.7599 | 0.3295 |
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+ | No log | 4.8 | 72 | 0.3278 | 0.7285 | 0.3270 |
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+ | No log | 4.9333 | 74 | 0.3399 | 0.7039 | 0.3391 |
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+ | No log | 5.0667 | 76 | 0.3696 | 0.6751 | 0.3689 |
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+ | No log | 5.2 | 78 | 0.3565 | 0.6740 | 0.3558 |
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+ | No log | 5.3333 | 80 | 0.3177 | 0.7247 | 0.3171 |
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+ | No log | 5.4667 | 82 | 0.3107 | 0.7637 | 0.3100 |
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+ | No log | 5.6 | 84 | 0.3037 | 0.7643 | 0.3031 |
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+ | No log | 5.7333 | 86 | 0.2968 | 0.7380 | 0.2962 |
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+ | No log | 5.8667 | 88 | 0.3026 | 0.6895 | 0.3020 |
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+ | No log | 6.0 | 90 | 0.2948 | 0.7283 | 0.2942 |
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+ | No log | 6.1333 | 92 | 0.2968 | 0.7351 | 0.2962 |
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+ | No log | 6.2667 | 94 | 0.3054 | 0.6898 | 0.3048 |
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+ | No log | 6.4 | 96 | 0.3335 | 0.6564 | 0.3329 |
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+ | No log | 6.5333 | 98 | 0.3257 | 0.6723 | 0.3250 |
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+ | No log | 6.6667 | 100 | 0.3148 | 0.7398 | 0.3141 |
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+ | No log | 6.8 | 102 | 0.3244 | 0.7519 | 0.3237 |
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+ | No log | 6.9333 | 104 | 0.3201 | 0.7549 | 0.3194 |
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+ | No log | 7.0667 | 106 | 0.3197 | 0.7204 | 0.3190 |
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+ | No log | 7.2 | 108 | 0.3241 | 0.7042 | 0.3234 |
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+ | No log | 7.3333 | 110 | 0.3257 | 0.7232 | 0.3250 |
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+ | No log | 7.4667 | 112 | 0.3300 | 0.7399 | 0.3293 |
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+ | No log | 7.6 | 114 | 0.3300 | 0.7379 | 0.3292 |
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+ | No log | 7.7333 | 116 | 0.3299 | 0.7286 | 0.3292 |
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+ | No log | 7.8667 | 118 | 0.3273 | 0.7096 | 0.3266 |
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+ | No log | 8.0 | 120 | 0.3291 | 0.6958 | 0.3284 |
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+ | No log | 8.1333 | 122 | 0.3265 | 0.6826 | 0.3258 |
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+ | No log | 8.2667 | 124 | 0.3190 | 0.7007 | 0.3182 |
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+ | No log | 8.4 | 126 | 0.3131 | 0.7151 | 0.3123 |
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+ | No log | 8.5333 | 128 | 0.3135 | 0.7284 | 0.3127 |
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+ | No log | 8.6667 | 130 | 0.3156 | 0.7284 | 0.3148 |
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+ | No log | 8.8 | 132 | 0.3172 | 0.7253 | 0.3164 |
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+ | No log | 8.9333 | 134 | 0.3198 | 0.7157 | 0.3190 |
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+ | No log | 9.0667 | 136 | 0.3222 | 0.7034 | 0.3214 |
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+ | No log | 9.2 | 138 | 0.3213 | 0.7089 | 0.3205 |
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+ | No log | 9.3333 | 140 | 0.3194 | 0.7170 | 0.3186 |
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+ | No log | 9.4667 | 142 | 0.3189 | 0.7241 | 0.3181 |
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+ | No log | 9.6 | 144 | 0.3199 | 0.7239 | 0.3191 |
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+ | No log | 9.7333 | 146 | 0.3215 | 0.7103 | 0.3207 |
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+ | No log | 9.8667 | 148 | 0.3223 | 0.7089 | 0.3215 |
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+ | No log | 10.0 | 150 | 0.3225 | 0.7089 | 0.3218 |
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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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