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arabert_cross_relevance_task3_fold1

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  1. README.md +88 -0
  2. config.json +32 -0
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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_relevance_task3_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_relevance_task3_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: 0.2426
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+ - Qwk: 0.0740
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+ - Mse: 0.2426
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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: 16
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+ - eval_batch_size: 16
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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: 1
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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 | 0.0323 | 2 | 0.6571 | -0.0036 | 0.6564 |
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+ | No log | 0.0645 | 4 | 0.3076 | -0.0029 | 0.3070 |
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+ | No log | 0.0968 | 6 | 0.3031 | 0.2300 | 0.3026 |
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+ | No log | 0.1290 | 8 | 0.2437 | 0.1569 | 0.2433 |
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+ | No log | 0.1613 | 10 | 0.2340 | 0.0536 | 0.2337 |
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+ | No log | 0.1935 | 12 | 0.3061 | 0.0885 | 0.3059 |
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+ | No log | 0.2258 | 14 | 0.3211 | 0.0941 | 0.3208 |
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+ | No log | 0.2581 | 16 | 0.2810 | 0.0890 | 0.2807 |
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+ | No log | 0.2903 | 18 | 0.2466 | 0.0745 | 0.2463 |
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+ | No log | 0.3226 | 20 | 0.2323 | 0.1189 | 0.2321 |
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+ | No log | 0.3548 | 22 | 0.2498 | 0.2409 | 0.2497 |
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+ | No log | 0.3871 | 24 | 0.2710 | 0.3439 | 0.2710 |
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+ | No log | 0.4194 | 26 | 0.2687 | 0.2761 | 0.2687 |
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+ | No log | 0.4516 | 28 | 0.2625 | 0.2319 | 0.2625 |
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+ | No log | 0.4839 | 30 | 0.2510 | 0.1532 | 0.2510 |
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+ | No log | 0.5161 | 32 | 0.2451 | 0.0863 | 0.2451 |
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+ | No log | 0.5484 | 34 | 0.2476 | 0.0881 | 0.2476 |
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+ | No log | 0.5806 | 36 | 0.2467 | 0.0849 | 0.2467 |
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+ | No log | 0.6129 | 38 | 0.2492 | 0.0849 | 0.2492 |
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+ | No log | 0.6452 | 40 | 0.2480 | 0.0849 | 0.2480 |
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+ | No log | 0.6774 | 42 | 0.2428 | 0.0623 | 0.2428 |
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+ | No log | 0.7097 | 44 | 0.2383 | 0.0638 | 0.2383 |
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+ | No log | 0.7419 | 46 | 0.2374 | 0.0679 | 0.2374 |
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+ | No log | 0.7742 | 48 | 0.2364 | 0.0679 | 0.2364 |
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+ | No log | 0.8065 | 50 | 0.2366 | 0.0679 | 0.2366 |
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+ | No log | 0.8387 | 52 | 0.2379 | 0.0679 | 0.2379 |
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+ | No log | 0.8710 | 54 | 0.2391 | 0.0679 | 0.2391 |
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+ | No log | 0.9032 | 56 | 0.2401 | 0.0679 | 0.2401 |
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+ | No log | 0.9355 | 58 | 0.2414 | 0.0748 | 0.2414 |
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+ | No log | 0.9677 | 60 | 0.2424 | 0.0740 | 0.2424 |
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+ | No log | 1.0 | 62 | 0.2426 | 0.0740 | 0.2426 |
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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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