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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6746
-- Accuracy: 0.6
-- F1: 0.0
-- Precision: 0.0
-- Recall: 0.0
+- Loss: 0.3136
+- Accuracy: 1.0
+- F1: 1.0
+- Precision: 1.0
+- Recall: 1.0
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
-| No log        | 1.0   | 6    | 0.6743          | 0.6      | 0.0 | 0.0       | 0.0    |
-| 0.7101        | 2.0   | 12   | 0.6710          | 0.6      | 0.0 | 0.0       | 0.0    |
-| 0.7101        | 3.0   | 18   | 0.6746          | 0.6      | 0.0 | 0.0       | 0.0    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 6    | 0.9282          | 0.2      | 0.3333 | 0.2       | 1.0    |
+| 0.6843        | 2.0   | 12   | 0.4154          | 1.0      | 1.0    | 1.0       | 1.0    |
+| 0.6843        | 3.0   | 18   | 0.3136          | 1.0      | 1.0    | 1.0       | 1.0    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:51a0159c8c86201111e7316097c0539b00739a7e9c0782d7c176f78746d25b35
 size 437958648