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 [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2335
-- Accuracy: 0.9666
-- F1: 0.9666
+- Loss: 0.2096
+- Accuracy: 0.9673
+- F1: 0.9673
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 4798  | 0.0966          | 0.9686   | 0.9686 |
-| 0.1403        | 2.0   | 9596  | 0.1704          | 0.9661   | 0.9661 |
-| 0.1403        | 3.0   | 14394 | 0.1661          | 0.9696   | 0.9696 |
-| 0.0362        | 4.0   | 19192 | 0.4430          | 0.9385   | 0.9381 |
-| 0.0362        | 5.0   | 23990 | 0.2335          | 0.9666   | 0.9666 |
+| No log        | 1.0   | 4798  | 0.1903          | 0.9527   | 0.9526 |
+| 0.1396        | 2.0   | 9596  | 0.1751          | 0.9672   | 0.9672 |
+| 0.1396        | 3.0   | 14394 | 0.2093          | 0.9647   | 0.9646 |
+| 0.0391        | 4.0   | 19192 | 0.1954          | 0.9690   | 0.9690 |
+| 0.0391        | 5.0   | 23990 | 0.2096          | 0.9673   | 0.9673 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 2239618672