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arabert_baseline_relevance_task3_fold0

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  1. README.md +20 -35
README.md CHANGED
@@ -3,20 +3,20 @@ 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_relevance_task2_fold1
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  results: []
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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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- # arabert_baseline_relevance_task2_fold1
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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: 0.1509
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- - Qwk: 0.1747
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- - Mse: 0.1416
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  ## Model description
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@@ -47,36 +47,21 @@ The following hyperparameters were used during training:
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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 | 0.7029 | -0.0252 | 0.7093 |
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- | No log | 0.6667 | 4 | 0.1462 | -0.1951 | 0.1344 |
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- | No log | 1.0 | 6 | 0.2440 | 0.0 | 0.2429 |
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- | No log | 1.3333 | 8 | 0.1359 | 0.0 | 0.1325 |
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- | No log | 1.6667 | 10 | 0.1162 | 0.0219 | 0.1100 |
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- | No log | 2.0 | 12 | 0.1085 | 0.0345 | 0.1016 |
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- | No log | 2.3333 | 14 | 0.1197 | 0.0 | 0.1139 |
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- | No log | 2.6667 | 16 | 0.1465 | 0.0 | 0.1427 |
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- | No log | 3.0 | 18 | 0.1499 | 0.0 | 0.1462 |
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- | No log | 3.3333 | 20 | 0.1428 | 0.0 | 0.1389 |
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- | No log | 3.6667 | 22 | 0.1187 | 0.0483 | 0.1125 |
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- | No log | 4.0 | 24 | 0.1323 | 0.1217 | 0.1220 |
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- | No log | 4.3333 | 26 | 0.1627 | -0.1667 | 0.1498 |
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- | No log | 4.6667 | 28 | 0.1511 | 0.2075 | 0.1392 |
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- | No log | 5.0 | 30 | 0.1317 | 0.1217 | 0.1222 |
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- | No log | 5.3333 | 32 | 0.1331 | 0.0637 | 0.1256 |
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- | No log | 5.6667 | 34 | 0.1407 | 0.0105 | 0.1341 |
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- | No log | 6.0 | 36 | 0.1544 | 0.0105 | 0.1484 |
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- | No log | 6.3333 | 38 | 0.1639 | 0.0219 | 0.1582 |
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- | No log | 6.6667 | 40 | 0.1595 | 0.0483 | 0.1529 |
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- | No log | 7.0 | 42 | 0.1480 | 0.0808 | 0.1402 |
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- | No log | 7.3333 | 44 | 0.1440 | 0.1000 | 0.1358 |
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- | No log | 7.6667 | 46 | 0.1462 | 0.1000 | 0.1382 |
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- | No log | 8.0 | 48 | 0.1490 | 0.1747 | 0.1404 |
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- | No log | 8.3333 | 50 | 0.1535 | 0.1747 | 0.1441 |
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- | No log | 8.6667 | 52 | 0.1570 | 0.0094 | 0.1473 |
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- | No log | 9.0 | 54 | 0.1553 | 0.0094 | 0.1456 |
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- | No log | 9.3333 | 56 | 0.1529 | 0.1747 | 0.1436 |
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- | No log | 9.6667 | 58 | 0.1515 | 0.1747 | 0.1422 |
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- | No log | 10.0 | 60 | 0.1509 | 0.1747 | 0.1416 |
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  ### Framework versions
 
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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_relevance_task3_fold0
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  results: []
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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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+ # arabert_baseline_relevance_task3_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: 0.2326
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+ - Qwk: 0.0
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+ - Mse: 0.2326
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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+ | No log | 0.6667 | 2 | 0.5604 | -0.0845 | 0.5490 |
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+ | No log | 1.3333 | 4 | 0.4316 | 0.0000 | 0.4136 |
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+ | No log | 2.0 | 6 | 0.4602 | -0.1579 | 0.4699 |
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+ | No log | 2.6667 | 8 | 0.2569 | 0.0294 | 0.2631 |
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+ | No log | 3.3333 | 10 | 0.2323 | 0.0 | 0.2316 |
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+ | No log | 4.0 | 12 | 0.3209 | 0.0 | 0.3171 |
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+ | No log | 4.6667 | 14 | 0.2901 | 0.0 | 0.2877 |
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+ | No log | 5.3333 | 16 | 0.2432 | 0.0 | 0.2433 |
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+ | No log | 6.0 | 18 | 0.2222 | 0.0 | 0.2222 |
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+ | No log | 6.6667 | 20 | 0.2264 | 0.0 | 0.2257 |
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+ | No log | 7.3333 | 22 | 0.2342 | 0.0 | 0.2329 |
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+ | No log | 8.0 | 24 | 0.2393 | 0.0 | 0.2375 |
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+ | No log | 8.6667 | 26 | 0.2361 | 0.0 | 0.2351 |
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+ | No log | 9.3333 | 28 | 0.2342 | 0.0 | 0.2338 |
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+ | No log | 10.0 | 30 | 0.2326 | 0.0 | 0.2326 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions