End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5908
-- F1: 0.8489
-- Precision: 0.8429
-- Recall: 0.8551
-- Accuracy: 0.86
+- Loss: 0.6074
+- F1: 0.8169
+- Precision: 0.7945
+- Recall: 0.8406
+- Accuracy: 0.8267
 
 ## Model description
 
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Precision | Recall | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
-| 0.5685        | 0.625 | 10   | 0.5841          | 0.8397 | 0.8871    | 0.7971 | 0.86     |
-| 0.5716        | 1.25  | 20   | 0.5964          | 0.8493 | 0.8052    | 0.8986 | 0.8533   |
-| 0.5815        | 1.875 | 30   | 0.5908          | 0.8489 | 0.8429    | 0.8551 | 0.86     |
+| 0.6875        | 0.625 | 10   | 0.6413          | 0.5625 | 1.0       | 0.3913 | 0.72     |
+| 0.6028        | 1.25  | 20   | 0.6077          | 0.7971 | 0.7971    | 0.7971 | 0.8133   |
+| 0.5901        | 1.875 | 30   | 0.6074          | 0.8169 | 0.7945    | 0.8406 | 0.8267   |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 29715788