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distilbert-base-uncased-finetuned-squad

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timopixel commited on May 20, 2023

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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: 2.8859
 ## Model description
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 | 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
 - Transformers 4.28.0
-- Pytorch 2.0.0+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3

 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: 2.6667
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 86   | 2.4457          |
+| No log        | 2.0   | 172  | 2.1645          |
+| No log        | 3.0   | 258  | 2.1734          |
+| No log        | 4.0   | 344  | 2.3537          |
+| No log        | 5.0   | 430  | 2.6667          |
 ### Framework versions
 - Transformers 4.28.0
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3