End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0464
-- Accuracy: 0.439
-- Auc: nan
+- Loss: 1.0546
+- Accuracy: 0.46
+- Auc: 0.636
 
 ## Model description
 
@@ -49,18 +49,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
-| 1.0898        | 1.0   | 560  | 1.0659          | 0.414    | nan |
-| 1.0512        | 2.0   | 1120 | 1.1610          | 0.381    | nan |
-| 1.0445        | 3.0   | 1680 | 1.0595          | 0.408    | nan |
-| 1.0294        | 4.0   | 2240 | 1.0696          | 0.422    | nan |
-| 1.0194        | 5.0   | 2800 | 1.0645          | 0.433    | nan |
-| 1.0154        | 6.0   | 3360 | 1.0660          | 0.442    | nan |
-| 1.0091        | 7.0   | 3920 | 1.0528          | 0.428    | nan |
-| 1.005         | 8.0   | 4480 | 1.0664          | 0.401    | nan |
-| 0.9969        | 9.0   | 5040 | 1.0397          | 0.449    | nan |
-| 0.9889        | 10.0  | 5600 | 1.0464          | 0.439    | nan |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
+| 1.0854        | 1.0   | 560  | 1.0647          | 0.43     | 0.619 |
+| 1.0549        | 2.0   | 1120 | 1.0566          | 0.453    | 0.62  |
+| 1.0372        | 3.0   | 1680 | 1.0591          | 0.421    | 0.627 |
+| 1.0232        | 4.0   | 2240 | 1.0514          | 0.46     | 0.633 |
+| 1.0203        | 5.0   | 2800 | 1.0655          | 0.439    | 0.634 |
+| 1.0237        | 6.0   | 3360 | 1.0529          | 0.469    | 0.636 |
+| 1.006         | 7.0   | 3920 | 1.0576          | 0.442    | 0.635 |
+| 1.0035        | 8.0   | 4480 | 1.0529          | 0.444    | 0.637 |
+| 0.9947        | 9.0   | 5040 | 1.0544          | 0.447    | 0.635 |
+| 0.9897        | 10.0  | 5600 | 1.0546          | 0.46     | 0.636 |
 
 
 ### Framework versions

model.safetensors

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 size 437961724

training_args.bin

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 size 5304