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: 0.0065
+- Loss: 0.0243
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0172        | 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      |
+| 0.0458        | 1.0   | 1017 | 0.0344          | 1.0      |
+| 0.0225        | 2.0   | 2034 | 0.0254          | 1.0      |
+| 0.0114        | 3.0   | 3051 | 0.0203          | 1.0      |
+| 0.0065        | 4.0   | 4068 | 0.0216          | 1.0      |
+| 0.0035        | 5.0   | 5085 | 0.0243          | 1.0      |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9be51b009bd63777628e5d2eb5a7e207f6417c0e1b102e55fe0cb863208c6506
 size 1109905449