End of training

README.md

@@ -17,9 +17,9 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4234
-- Accuracy: 0.8175
-- Mcc: 0.2467
+- Loss: 0.5669
+- Accuracy: 0.82
+- Mcc: 0.3059
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 51   | 0.4445          | 0.835    | 0.0    |
-| No log        | 2.0   | 102  | 0.3569          | 0.835    | 0.0    |
-| No log        | 3.0   | 153  | 0.3747          | 0.7925   | 0.2331 |
-| No log        | 4.0   | 204  | 0.3984          | 0.82     | 0.2800 |
-| No log        | 5.0   | 255  | 0.4234          | 0.8175   | 0.2467 |
+| No log        | 1.0   | 51   | 0.4262          | 0.84     | 0.2085 |
+| No log        | 2.0   | 102  | 0.4447          | 0.815    | 0.3286 |
+| No log        | 3.0   | 153  | 0.4965          | 0.81     | 0.2935 |
+| No log        | 4.0   | 204  | 0.5477          | 0.82     | 0.2335 |
+| No log        | 5.0   | 255  | 0.5669          | 0.82     | 0.3059 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5983c1f7772da090b8d3ede2badc4ef2bdb9fd229f0b86b08bcfe5c000166127
+oid sha256:e5197046b9fd7159d99ab12cf3d0ce269b368c6a7d192cbd342df242cc9a5ddb
 size 267832560