End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1095
+- Loss: 0.1084
 - Accuracy: 0.9796
 
 ## Model description
@@ -43,15 +43,16 @@ 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: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 58   | 0.1248          | 0.9592   |
-| No log        | 2.0   | 116  | 0.1100          | 0.9592   |
-| No log        | 3.0   | 174  | 0.1095          | 0.9796   |
+| No log        | 1.0   | 58   | 0.1070          | 0.9796   |
+| No log        | 2.0   | 116  | 0.1378          | 0.9592   |
+| No log        | 3.0   | 174  | 0.1139          | 0.9592   |
+| No log        | 4.0   | 232  | 0.1084          | 0.9796   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b50b76e84ffef2bf87b127bcfec710452da884c82f7df74489e81144e4b81fe
+oid sha256:243123fae8ffcab79e79cb033d989862a7729cf7eba06b5e7b19eb9e22e78288
 size 267832560