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: 0.4286
-- Precision: 0.5653
-- Recall: 0.6937
-- F1: 0.6230
-- Accuracy: 0.7088
+- Loss: 0.2218
+- Precision: 0.6827
+- Recall: 0.7433
+- F1: 0.7117
+- Accuracy: 0.8090
 
 ## Model description
 
@@ -59,11 +59,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4279        | 1.0   | 486  | 0.4582          | 0.5508    | 0.6867 | 0.6112 | 0.6967   |
-| 0.4106        | 2.0   | 972  | 0.4288          | 0.5141    | 0.7058 | 0.5949 | 0.6640   |
-| 0.4069        | 3.0   | 1458 | 0.4286          | 0.5653    | 0.6937 | 0.6230 | 0.7088   |
-| 0.3529        | 4.0   | 1944 | 0.4346          | 0.5228    | 0.6986 | 0.5981 | 0.7192   |
-| 0.3341        | 5.0   | 2430 | 0.4613          | 0.5283    | 0.6915 | 0.5990 | 0.7192   |
+| 0.2553        | 1.0   | 342  | 0.2404          | 0.6501    | 0.7494 | 0.6962 | 0.8119   |
+| 0.2284        | 2.0   | 684  | 0.2320          | 0.6823    | 0.7437 | 0.7117 | 0.8194   |
+| 0.2127        | 3.0   | 1026 | 0.2218          | 0.6827    | 0.7433 | 0.7117 | 0.8090   |
+| 0.1901        | 4.0   | 1368 | 0.2282          | 0.6684    | 0.7470 | 0.7055 | 0.8351   |
+| 0.1634        | 5.0   | 1710 | 0.2494          | 0.6580    | 0.7418 | 0.6974 | 0.8368   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1ba8926a725586a8a960cb0adc875afad182a174d88c3072fd2c22f06e22813b
 size 1230156812