Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [numind/NuNER-v2.0](https://huggingface.co/numind/NuNER-v2.0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2392
-- Precision: 0.6818
-- Recall: 0.7148
-- F1: 0.6979
-- Accuracy: 0.9309
+- Loss: 0.2362
+- Precision: 0.6810
+- Recall: 0.7160
+- F1: 0.6981
+- Accuracy: 0.9313
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -58,10 +58,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2608        | 1.0   | 2059 | 0.2497          | 0.6512    | 0.7000 | 0.6747 | 0.9255   |
-| 0.2153        | 2.0   | 4118 | 0.2364          | 0.6796    | 0.7015 | 0.6904 | 0.9302   |
-| 0.1949        | 3.0   | 6177 | 0.2347          | 0.6785    | 0.7110 | 0.6944 | 0.9309   |
-| 0.1669        | 4.0   | 8236 | 0.2392          | 0.6818    | 0.7148 | 0.6979 | 0.9309   |
+| 0.2602        | 1.0   | 2059 | 0.2486          | 0.6570    | 0.7031 | 0.6793 | 0.9270   |
+| 0.2199        | 2.0   | 4118 | 0.2369          | 0.6791    | 0.7043 | 0.6915 | 0.9302   |
+| 0.2052        | 3.0   | 6177 | 0.2349          | 0.6785    | 0.7143 | 0.6959 | 0.9312   |
+| 0.1835        | 4.0   | 8236 | 0.2362          | 0.6810    | 0.7160 | 0.6981 | 0.9313   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:0777393abe423435ee96a9064752eed10c794bf261c4fbedb5fa88f70327377e
 size 496450188