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bert-base-multilingual-cased-finetuned-newqa1

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badokorach commited on Sep 5, 2023

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README.md +17 -9
pytorch_model.bin +1 -1

README.md CHANGED Viewed

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4543
 ## Model description
@@ -40,19 +40,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 66   | 2.5106          |
-| No log        | 2.0   | 132  | 2.2536          |
-| No log        | 3.0   | 198  | 2.1888          |
-| No log        | 4.0   | 264  | 2.3128          |
-| No log        | 5.0   | 330  | 2.3129          |
-| No log        | 6.0   | 396  | 2.3960          |
-| No log        | 7.0   | 462  | 2.4543          |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.6464
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 15
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 66   | 2.4436          |
+| No log        | 2.0   | 132  | 2.9332          |
+| No log        | 3.0   | 198  | 2.8448          |
+| No log        | 4.0   | 264  | 3.1388          |
+| No log        | 5.0   | 330  | 3.3338          |
+| No log        | 6.0   | 396  | 3.3124          |
+| No log        | 7.0   | 462  | 3.2653          |
+| 0.5371        | 8.0   | 528  | 3.4633          |
+| 0.5371        | 9.0   | 594  | 3.5907          |
+| 0.5371        | 10.0  | 660  | 3.5120          |
+| 0.5371        | 11.0  | 726  | 3.6371          |
+| 0.5371        | 12.0  | 792  | 3.6414          |
+| 0.5371        | 13.0  | 858  | 3.5953          |
+| 0.5371        | 14.0  | 924  | 3.6044          |
+| 0.5371        | 15.0  | 990  | 3.6464          |
 ### Framework versions

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