Model save

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7230
-- Accuracy: 0.5
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
+- Loss: 0.1549
+- Accuracy: 1.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
-| No log        | 1.0   | 2    | 0.7230          | 0.5      | 0.0       | 0.0    | 0.0 |
-| No log        | 2.0   | 4    | 0.7101          | 0.5      | 0.0       | 0.0    | 0.0 |
-| No log        | 3.0   | 6    | 0.7058          | 0.5      | 0.0       | 0.0    | 0.0 |
+| 0.4908        | 1.0   | 90   | 0.1549          | 1.0      | 1.0       | 1.0    | 1.0 |
+| 0.113         | 2.0   | 180  | 0.0635          | 1.0      | 1.0       | 1.0    | 1.0 |
+| 0.0599        | 3.0   | 270  | 0.0502          | 1.0      | 1.0       | 1.0    | 1.0 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1315c378e6c00fafbb299ec9ffe2a9b1746f291f231d9f4204fc2720e133ef94
+oid sha256:9b7a240287a6936e48a51de4cb253a7f94f0629d6d09836aa91e7b2a8d02781d
 size 17549312