Ved2001/pranalyzer

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2034
-- Accuracy: 0.929
-- F1: 0.9290
+- Loss: 0.1989
+- Accuracy: 0.927
+- F1: 0.9270
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2289        | 1.0   | 157  | 0.2111          | 0.919    | 0.9190 |
-| 0.1662        | 2.0   | 314  | 0.2034          | 0.929    | 0.9290 |
-| 0.0983        | 3.0   | 471  | 0.2297          | 0.929    | 0.9290 |
+| 0.2201        | 1.0   | 157  | 0.2192          | 0.916    | 0.9159 |
+| 0.1695        | 2.0   | 314  | 0.1988          | 0.927    | 0.9270 |
+| 0.0974        | 3.0   | 471  | 0.2326          | 0.926    | 0.9260 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:265d5ee2b62b7dfb5757110151f926b2065984895e78ff59a9f911bfbebd97ed
+oid sha256:71d320c4335230723a03427b00b1bc9e0965993ce276f112e33965407260ea39
 size 267832560