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Rzoro
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checkpoints_2_18

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Transformers
PyTorch
deberta-v2
Generated from Trainer
Inference Endpoints
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  1. README.md +26 -26
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0050
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- - Map@3: 0.7222
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  ## Model description
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@@ -33,7 +33,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 0
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  | Training Loss | Epoch | Step | Validation Loss | Map@3 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.1981 | 0.04 | 200 | 1.0091 | 0.7250 |
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- | 1.1225 | 0.08 | 400 | 1.0614 | 0.7157 |
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- | 1.0582 | 0.13 | 600 | 1.0616 | 0.7187 |
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- | 0.9549 | 0.17 | 800 | 1.2926 | 0.7140 |
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- | 1.0004 | 0.21 | 1000 | 1.0648 | 0.7148 |
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- | 0.9451 | 0.25 | 1200 | 1.1950 | 0.6827 |
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- | 1.0324 | 0.29 | 1400 | 1.1839 | 0.7020 |
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- | 0.9302 | 0.34 | 1600 | 1.2874 | 0.7132 |
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- | 0.9951 | 0.38 | 1800 | 1.1666 | 0.7072 |
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- | 0.9903 | 0.42 | 2000 | 1.1557 | 0.7113 |
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- | 0.9599 | 0.46 | 2200 | 1.1784 | 0.7018 |
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- | 0.9895 | 0.51 | 2400 | 1.1852 | 0.7007 |
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- | 1.0247 | 0.55 | 2600 | 1.0689 | 0.7162 |
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- | 0.9836 | 0.59 | 2800 | 1.0963 | 0.7210 |
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- | 1.0456 | 0.63 | 3000 | 1.0689 | 0.7138 |
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- | 1.0871 | 0.67 | 3200 | 1.0866 | 0.7243 |
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- | 1.1521 | 0.72 | 3400 | 1.0743 | 0.7243 |
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- | 1.1439 | 0.76 | 3600 | 1.0287 | 0.7215 |
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- | 1.1757 | 0.8 | 3800 | 1.0172 | 0.7243 |
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- | 1.2097 | 0.84 | 4000 | 1.0121 | 0.7233 |
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- | 1.1979 | 0.88 | 4200 | 1.0091 | 0.7215 |
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- | 1.2282 | 0.93 | 4400 | 1.0057 | 0.7222 |
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- | 1.2602 | 0.97 | 4600 | 1.0050 | 0.7222 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0162
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+ - Map@3: 0.7248
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 0
 
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  | Training Loss | Epoch | Step | Validation Loss | Map@3 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.1455 | 0.04 | 200 | 1.0242 | 0.7222 |
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+ | 1.1247 | 0.08 | 400 | 1.0420 | 0.7233 |
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+ | 1.0755 | 0.13 | 600 | 1.0358 | 0.7222 |
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+ | 1.003 | 0.17 | 800 | 1.1454 | 0.7258 |
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+ | 1.0276 | 0.21 | 1000 | 1.0685 | 0.7205 |
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+ | 0.9733 | 0.25 | 1200 | 1.1443 | 0.7050 |
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+ | 1.0409 | 0.29 | 1400 | 1.1388 | 0.7012 |
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+ | 0.9511 | 0.34 | 1600 | 1.1830 | 0.7197 |
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+ | 1.0153 | 0.38 | 1800 | 1.1344 | 0.7172 |
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+ | 1.0024 | 0.42 | 2000 | 1.1659 | 0.7212 |
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+ | 0.9657 | 0.46 | 2200 | 1.1938 | 0.7100 |
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+ | 0.9993 | 0.51 | 2400 | 1.1777 | 0.7042 |
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+ | 1.0174 | 0.55 | 2600 | 1.0811 | 0.7145 |
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+ | 0.9792 | 0.59 | 2800 | 1.1281 | 0.7162 |
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+ | 1.0442 | 0.63 | 3000 | 1.0792 | 0.7133 |
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+ | 1.075 | 0.67 | 3200 | 1.0900 | 0.7165 |
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+ | 1.1424 | 0.72 | 3400 | 1.0698 | 0.7188 |
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+ | 1.1411 | 0.76 | 3600 | 1.0476 | 0.7193 |
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+ | 1.172 | 0.8 | 3800 | 1.0318 | 0.7225 |
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+ | 1.208 | 0.84 | 4000 | 1.0224 | 0.7225 |
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+ | 1.1975 | 0.88 | 4200 | 1.0195 | 0.7245 |
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+ | 1.2282 | 0.93 | 4400 | 1.0168 | 0.7238 |
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+ | 1.2635 | 0.97 | 4600 | 1.0162 | 0.7248 |
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  ### Framework versions
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