End of training

README.md

@@ -17,8 +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: 0.4086
-- Accuracy: 0.895
+- Loss: 0.4537
+- Accuracy: 0.8375
+- Mcc: 0.1417
 
 ## Model description
 
@@ -47,18 +48,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 51   | 0.2662          | 0.915    |
-| No log        | 2.0   | 102  | 0.2977          | 0.9075   |
-| No log        | 3.0   | 153  | 0.3400          | 0.905    |
-| No log        | 4.0   | 204  | 0.3964          | 0.8925   |
-| No log        | 5.0   | 255  | 0.4086          | 0.895    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 51   | 0.4281          | 0.8425   | 0.0    |
+| No log        | 2.0   | 102  | 0.4170          | 0.8425   | 0.0    |
+| No log        | 3.0   | 153  | 0.4310          | 0.845    | 0.1158 |
+| No log        | 4.0   | 204  | 0.4443          | 0.8375   | 0.1417 |
+| No log        | 5.0   | 255  | 0.4537          | 0.8375   | 0.1417 |
 
 
 ### Framework versions
 
-- Transformers 4.34.1
+- Transformers 4.35.0
 - Pytorch 2.1.0+cu118
 - Datasets 2.14.6
 - Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560