End of training

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8561
-- F1-score: 0.8037
+- Loss: 2.1703
+- F1-score: 0.7724
 
 ## Model description
 
@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1-score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 265  | 0.7133          | 0.7595   |
-| 0.7319        | 2.0   | 530  | 0.7466          | 0.7937   |
-| 0.7319        | 3.0   | 795  | 0.7983          | 0.7609   |
-| 0.3709        | 4.0   | 1060 | 1.0861          | 0.7859   |
-| 0.3709        | 5.0   | 1325 | 1.3603          | 0.7637   |
-| 0.1632        | 6.0   | 1590 | 1.3124          | 0.7835   |
-| 0.1632        | 7.0   | 1855 | 1.6351          | 0.7432   |
-| 0.0846        | 8.0   | 2120 | 1.4934          | 0.7842   |
-| 0.0846        | 9.0   | 2385 | 1.5827          | 0.7891   |
-| 0.0438        | 10.0  | 2650 | 1.8168          | 0.7695   |
-| 0.0438        | 11.0  | 2915 | 1.7212          | 0.7837   |
-| 0.0149        | 12.0  | 3180 | 1.7602          | 0.7906   |
-| 0.0149        | 13.0  | 3445 | 1.8375          | 0.7869   |
-| 0.0152        | 14.0  | 3710 | 1.9152          | 0.7768   |
-| 0.0152        | 15.0  | 3975 | 1.9085          | 0.7918   |
-| 0.0049        | 16.0  | 4240 | 1.9808          | 0.7835   |
-| 0.0094        | 17.0  | 4505 | 1.8629          | 0.8016   |
-| 0.0094        | 18.0  | 4770 | 1.8561          | 0.8037   |
-| 0.0027        | 19.0  | 5035 | 1.9061          | 0.7939   |
-| 0.0027        | 20.0  | 5300 | 1.9370          | 0.7898   |
+| No log        | 1.0   | 297  | 0.6759          | 0.7155   |
+| 0.6468        | 2.0   | 594  | 1.2492          | 0.6745   |
+| 0.6468        | 3.0   | 891  | 1.2268          | 0.7040   |
+| 0.3433        | 4.0   | 1188 | 1.2735          | 0.7694   |
+| 0.3433        | 5.0   | 1485 | 1.5214          | 0.7112   |
+| 0.1732        | 6.0   | 1782 | 1.9239          | 0.7325   |
+| 0.0436        | 7.0   | 2079 | 1.7480          | 0.7567   |
+| 0.0436        | 8.0   | 2376 | 2.1543          | 0.7439   |
+| 0.0191        | 9.0   | 2673 | 2.1873          | 0.7528   |
+| 0.0191        | 10.0  | 2970 | 2.1828          | 0.7528   |
+| 0.0168        | 11.0  | 3267 | 2.2822          | 0.7482   |
+| 0.0117        | 12.0  | 3564 | 2.2565          | 0.7456   |
+| 0.0117        | 13.0  | 3861 | 2.1703          | 0.7724   |
+| 0.0085        | 14.0  | 4158 | 2.4034          | 0.7404   |
+| 0.0085        | 15.0  | 4455 | 2.3810          | 0.7374   |
+| 0.0043        | 16.0  | 4752 | 2.2340          | 0.7510   |
+| 0.0087        | 17.0  | 5049 | 2.2798          | 0.7712   |
+| 0.0087        | 18.0  | 5346 | 2.2541          | 0.7683   |
+| 0.0026        | 19.0  | 5643 | 2.3661          | 0.7563   |
+| 0.0026        | 20.0  | 5940 | 2.3710          | 0.7563   |
 
 
 ### Framework versions

model.safetensors

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 size 497817180

runs/Mar15_11-35-17_460c4293bb46/events.out.tfevents.1710502526.460c4293bb46.1677.7

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-size 13394
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+size 14071

runs/Mar15_11-35-17_460c4293bb46/events.out.tfevents.1710503090.460c4293bb46.1677.8

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+size 411