salbatarni
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End of training
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README.md
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---
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base_model: google-bert/bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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# arabert_baseline_relevance_task1_fold0
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Qwk: 0.
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- Mse: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk
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| No log | 0.3333 | 2 |
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| No log | 0.6667 | 4 |
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| No log | 1.0 | 6 | 0.
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| No log | 1.3333 | 8 | 0.
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| No log | 1.6667 | 10 | 0.
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| No log | 2.0 | 12 | 0.
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| No log | 2.3333 | 14 | 0.
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| No log | 2.6667 | 16 | 0.
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| No log | 3.0 | 18 | 0.
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| No log | 3.3333 | 20 | 0.
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| No log | 3.6667 | 22 | 0.
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| No log | 4.0 | 24 | 0.
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| No log | 4.3333 | 26 | 0.
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| No log | 4.6667 | 28 | 0.
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| No log | 5.0 | 30 | 0.
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### Framework versions
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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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# arabert_baseline_relevance_task1_fold0
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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: 0.2514
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- Qwk: 0.0808
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- Mse: 0.2559
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## Model description
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### Training results
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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 | 1.1076 | -0.0049 | 1.0949 |
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| No log | 0.6667 | 4 | 0.2779 | 0.0 | 0.2800 |
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| No log | 1.0 | 6 | 0.2271 | 0.3467 | 0.2294 |
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| No log | 1.3333 | 8 | 0.2361 | 0.1667 | 0.2359 |
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| No log | 1.6667 | 10 | 0.1985 | 0.1250 | 0.2028 |
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| No log | 2.0 | 12 | 0.2232 | 0.0 | 0.2304 |
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| No log | 2.3333 | 14 | 0.2167 | 0.0 | 0.2237 |
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| No log | 2.6667 | 16 | 0.2206 | 0.0 | 0.2259 |
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| No log | 3.0 | 18 | 0.2075 | 0.0 | 0.2127 |
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| No log | 3.3333 | 20 | 0.2078 | 0.0 | 0.2132 |
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| No log | 3.6667 | 22 | 0.2183 | 0.0 | 0.2235 |
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| No log | 4.0 | 24 | 0.2326 | 0.0 | 0.2375 |
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| No log | 4.3333 | 26 | 0.2498 | 0.0392 | 0.2543 |
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| No log | 4.6667 | 28 | 0.2547 | 0.0392 | 0.2590 |
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| No log | 5.0 | 30 | 0.2514 | 0.0808 | 0.2559 |
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### Framework versions
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