First Training completed!

README.md

@@ -17,7 +17,7 @@ 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 pharmaconer dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0069
+- Loss: 0.0065
 - F1 Score: 1.0
 
 ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1 Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0185        | 1.0   | 1017 | 0.0091          | 1.0      |
-| 0.0052        | 2.0   | 2034 | 0.0063          | 1.0      |
-| 0.0025        | 3.0   | 3051 | 0.0073          | 1.0      |
-| 0.0014        | 4.0   | 4068 | 0.0063          | 1.0      |
-| 0.0006        | 5.0   | 5085 | 0.0069          | 1.0      |
+| 0.0172        | 1.0   | 1017 | 0.0090          | 1.0      |
+| 0.0053        | 2.0   | 2034 | 0.0057          | 1.0      |
+| 0.0025        | 3.0   | 3051 | 0.0059          | 1.0      |
+| 0.0013        | 4.0   | 4068 | 0.0060          | 1.0      |
+| 0.0006        | 5.0   | 5085 | 0.0065          | 1.0      |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7179ab673fc8a0bad7248c1b01c000bce9ec28de53a6809a09e484ef57129765
 size 1109905449