End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5335
+- Loss: 1.5332
 - Accuracy: 0.5725
 
 ## Model description
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8169        | 1.0   | 79   | 1.8551          | 0.5465   |
-| 1.6263        | 2.0   | 158  | 1.6314          | 0.5242   |
-| 1.5507        | 3.0   | 237  | 1.5630          | 0.5428   |
-| 1.5639        | 4.0   | 316  | 1.5335          | 0.5725   |
+| 1.8012        | 1.0   | 79   | 1.8392          | 0.5502   |
+| 1.6259        | 2.0   | 158  | 1.6188          | 0.5576   |
+| 1.5486        | 3.0   | 237  | 1.5632          | 0.5428   |
+| 1.5573        | 4.0   | 316  | 1.5332          | 0.5725   |
 
 
 ### Framework versions

runs/Nov26_22-40-45_Nurs-Mac.local/events.out.tfevents.1764193247.Nurs-Mac.local.5243.0

@@ -1,3 +1,3 @@
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-size 12872
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+size 13549