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distilbert-base-uncased-finetuned-squad

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timopixel commited on May 29, 2023

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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8316
 ## Model description
@@ -41,17 +41,15 @@ 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: 5
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 86   | 2.4633          |
-| No log        | 2.0   | 172  | 2.1847          |
-| No log        | 3.0   | 258  | 2.1722          |
-| No log        | 4.0   | 344  | 2.6725          |
-| No log        | 5.0   | 430  | 2.8316          |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.5529
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 3
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 86   | 2.9691          |
+| No log        | 2.0   | 172  | 2.2967          |
+| No log        | 3.0   | 258  | 2.5529          |
 ### Framework versions