End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.1080
-- Accuracy: 0.9875
+- Loss: 0.1091
+- Accuracy: 0.9880
 
 ## Model description
 
@@ -44,16 +44,17 @@ 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: 4
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1277        | 1.0   | 1440 | 0.0955          | 0.9773   |
-| 0.0628        | 2.0   | 2880 | 0.1014          | 0.9863   |
-| 0.0237        | 3.0   | 4320 | 0.1029          | 0.9875   |
-| 0.0133        | 4.0   | 5760 | 0.1080          | 0.9875   |
+| 0.1175        | 1.0   | 1492 | 0.1155          | 0.9799   |
+| 0.0399        | 2.0   | 2984 | 0.0786          | 0.9863   |
+| 0.0132        | 3.0   | 4476 | 0.1142          | 0.9869   |
+| 0.0024        | 4.0   | 5968 | 0.1156          | 0.9869   |
+| 0.0003        | 5.0   | 7460 | 0.1091          | 0.9880   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d7bf468bf39fb275d0d6aa911bc91eda298f080f1e2aa3a39d7860baa3848b3c
 size 267838720