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distilbert-base-uncased-finetuned-squad

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timopixel commited on May 18, 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: 2.6523
 ## Model description
@@ -41,16 +41,17 @@ 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: 4
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 86   | 2.2387          |
-| No log        | 2.0   | 172  | 2.1471          |
-| No log        | 3.0   | 258  | 2.0546          |
-| No log        | 4.0   | 344  | 2.6523          |
 ### 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: 2.8859
 ## Model description
 - 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   | 2.7977          |
+| No log        | 2.0   | 172  | 2.1824          |
+| No log        | 3.0   | 258  | 2.4309          |
+| No log        | 4.0   | 344  | 2.8697          |
+| No log        | 5.0   | 430  | 2.8859          |
 ### Framework versions