tool-bert

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0016
-- Accuracy: 1.0
+- Loss: 0.5647
+- Accuracy: 0.7293
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 63   | 0.0068          | 1.0      |
-| No log        | 2.0   | 126  | 0.0025          | 1.0      |
-| No log        | 3.0   | 189  | 0.0018          | 1.0      |
-| No log        | 4.0   | 252  | 0.0016          | 1.0      |
+| No log        | 1.0   | 188  | 0.9877          | 0.5573   |
+| No log        | 2.0   | 376  | 0.6289          | 0.7193   |
+| 0.9252        | 3.0   | 564  | 0.5927          | 0.7267   |
+| 0.9252        | 4.0   | 752  | 0.5647          | 0.7293   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6fd48c29af00a00de42813b00398bcf3797266ba65e439beb02cfc7f6c87b920
+oid sha256:b429c08bffa7372382f81047e24818873c691fd75d64116478b297a0829f80cf
 size 669464588

runs/Dec30_19-05-37_Doctor/events.out.tfevents.1735596339.Doctor.3204.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f75bdd0e370a84eacd9a5ab7fb531e060c6dd02d3bcb86eaffcab656141721e4
+size 7273

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:53699fdc1a309c0f3027e5390d3a295cafe356686c5426118d59b683d73915c9
+oid sha256:3aef6c7fd4c09ab7d7d5594334b57bf0c03ec50d08bdc2da58e82fda63871157
 size 5304