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arabert_baseline_organization_task5_fold1

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  1. README.md +87 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. runs/Aug29_05-37-12_0bdfdf23bcd7/events.out.tfevents.1724909835.0bdfdf23bcd7.23.0 +3 -0
  5. runs/Aug29_05-38-40_0bdfdf23bcd7/events.out.tfevents.1724909921.0bdfdf23bcd7.23.1 +3 -0
  6. runs/Aug29_05-40-17_0bdfdf23bcd7/events.out.tfevents.1724910018.0bdfdf23bcd7.23.2 +3 -0
  7. runs/Aug29_05-41-50_0bdfdf23bcd7/events.out.tfevents.1724910111.0bdfdf23bcd7.23.3 +3 -0
  8. runs/Aug29_05-43-25_0bdfdf23bcd7/events.out.tfevents.1724910207.0bdfdf23bcd7.23.4 +3 -0
  9. runs/Aug29_05-44-20_0bdfdf23bcd7/events.out.tfevents.1724910261.0bdfdf23bcd7.23.5 +3 -0
  10. runs/Aug29_05-45-22_0bdfdf23bcd7/events.out.tfevents.1724910324.0bdfdf23bcd7.23.6 +3 -0
  11. runs/Aug29_05-46-14_0bdfdf23bcd7/events.out.tfevents.1724910375.0bdfdf23bcd7.23.7 +3 -0
  12. runs/Aug29_05-47-02_0bdfdf23bcd7/events.out.tfevents.1724910423.0bdfdf23bcd7.23.8 +3 -0
  13. runs/Aug29_05-48-33_0bdfdf23bcd7/events.out.tfevents.1724910514.0bdfdf23bcd7.23.9 +3 -0
  14. 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_baseline_organization_task5_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_baseline_organization_task5_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: 0.5797
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+ - Qwk: 0.6737
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+ - Mse: 0.5797
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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: 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 | 0.3333 | 2 | 1.3224 | 0.1029 | 1.3224 |
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+ | No log | 0.6667 | 4 | 1.1724 | 0.0 | 1.1724 |
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+ | No log | 1.0 | 6 | 1.0188 | 0.0 | 1.0188 |
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+ | No log | 1.3333 | 8 | 0.9367 | 0.0 | 0.9367 |
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+ | No log | 1.6667 | 10 | 0.9707 | 0.0461 | 0.9707 |
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+ | No log | 2.0 | 12 | 1.0017 | 0.0940 | 1.0017 |
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+ | No log | 2.3333 | 14 | 1.0101 | 0.3066 | 1.0101 |
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+ | No log | 2.6667 | 16 | 0.9862 | 0.2453 | 0.9862 |
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+ | No log | 3.0 | 18 | 0.9340 | 0.3962 | 0.9340 |
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+ | No log | 3.3333 | 20 | 0.8741 | 0.4096 | 0.8741 |
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+ | No log | 3.6667 | 22 | 0.8431 | 0.4403 | 0.8431 |
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+ | No log | 4.0 | 24 | 0.7909 | 0.4898 | 0.7909 |
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+ | No log | 4.3333 | 26 | 0.7355 | 0.5 | 0.7355 |
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+ | No log | 4.6667 | 28 | 0.6751 | 0.6084 | 0.6751 |
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+ | No log | 5.0 | 30 | 0.6350 | 0.5224 | 0.6350 |
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+ | No log | 5.3333 | 32 | 0.6127 | 0.5224 | 0.6127 |
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+ | No log | 5.6667 | 34 | 0.6032 | 0.5810 | 0.6032 |
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+ | No log | 6.0 | 36 | 0.5973 | 0.5810 | 0.5973 |
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+ | No log | 6.3333 | 38 | 0.5902 | 0.5810 | 0.5902 |
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+ | No log | 6.6667 | 40 | 0.5956 | 0.7043 | 0.5956 |
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+ | No log | 7.0 | 42 | 0.5976 | 0.7043 | 0.5976 |
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+ | No log | 7.3333 | 44 | 0.5970 | 0.6401 | 0.5970 |
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+ | No log | 7.6667 | 46 | 0.6061 | 0.6114 | 0.6061 |
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+ | No log | 8.0 | 48 | 0.6064 | 0.6114 | 0.6064 |
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+ | No log | 8.3333 | 50 | 0.5917 | 0.6401 | 0.5917 |
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+ | No log | 8.6667 | 52 | 0.5644 | 0.6737 | 0.5644 |
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+ | No log | 9.0 | 54 | 0.5637 | 0.6737 | 0.5637 |
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+ | No log | 9.3333 | 56 | 0.5746 | 0.6737 | 0.5746 |
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+ | No log | 9.6667 | 58 | 0.5782 | 0.6737 | 0.5782 |
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+ | No log | 10.0 | 60 | 0.5797 | 0.6737 | 0.5797 |
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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
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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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