Model save

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6360
-- Accuracy: 0.8235
-- F1: 0.8719
+- Loss: 0.7114
+- Accuracy: 0.8407
+- F1: 0.8889
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5338        | 1.09  | 500  | 0.5565          | 0.8186   | 0.8758 |
-| 0.3891        | 2.18  | 1000 | 0.6360          | 0.8235   | 0.8719 |
+| 0.5097        | 1.09  | 500  | 0.4302          | 0.8480   | 0.8916 |
+| 0.3324        | 2.18  | 1000 | 0.7114          | 0.8407   | 0.8889 |
 
 
 ### Framework versions

model.safetensors

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 size 328492280

runs/Dec28_15-11-00_26dbba48d2c8/events.out.tfevents.1703776275.26dbba48d2c8.1364.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+size 6048