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 [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1572
-- Precision: 0.3040
-- Recall: 0.2644
-- F1: 0.2828
-- Accuracy: 0.9822
+- Loss: 0.6612
+- Precision: 0.7275
+- Recall: 0.7115
+- F1: 0.7194
+- Accuracy: 0.8238
 
 ## Model description
 
@@ -60,9 +60,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1594        | 1.0   | 342  | 0.1572          | 0.3040    | 0.2644 | 0.2828 | 0.9822   |
-| 0.1587        | 2.0   | 684  | 0.1549          | 0.3445    | 0.2204 | 0.2688 | 0.9832   |
-| 0.1557        | 3.0   | 1026 | 0.1546          | 0.3412    | 0.1952 | 0.2483 | 0.9831   |
+| 0.6579        | 1.0   | 342  | 0.6704          | 0.6634    | 0.7273 | 0.6939 | 0.8184   |
+| 0.6339        | 2.0   | 684  | 0.6612          | 0.7275    | 0.7115 | 0.7194 | 0.8238   |
+| 0.6074        | 3.0   | 1026 | 0.6346          | 0.6937    | 0.7209 | 0.7071 | 0.8255   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 1230156812