Training complete!

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1637
-- Accuracy: 0.9556
+- Loss: 0.1446
+- Accuracy: 0.9667
 
 ## Model description
 
@@ -43,18 +43,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.88  | 100  | 0.3860          | 0.8778   |
-| No log        | 1.77  | 200  | 0.2395          | 0.8889   |
-| No log        | 2.65  | 300  | 0.1317          | 0.9778   |
-| No log        | 3.54  | 400  | 0.1502          | 0.9667   |
-| 0.3422        | 4.42  | 500  | 0.1437          | 0.9778   |
-| 0.3422        | 5.31  | 600  | 0.1637          | 0.9556   |
+| No log        | 0.88  | 100  | 0.3891          | 0.8778   |
+| No log        | 1.77  | 200  | 0.2423          | 0.8889   |
+| No log        | 2.65  | 300  | 0.1414          | 0.9667   |
+| No log        | 3.54  | 400  | 0.1483          | 0.9667   |
+| 0.3426        | 4.42  | 500  | 0.1446          | 0.9667   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:3a9ce0154147bdd0d0076ffa0f64008e1a9d44484528144cdf9c4186cfd5e792
 size 267858605