End of training

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0156
-- F1: 0.1720
+- Loss: 0.2882
+- F1: 0.9313
 
 ## Model description
 
@@ -43,14 +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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 50   | 2.0437          | 0.0628 |
-| No log        | 2.0   | 100  | 2.0156          | 0.1720 |
+| 1.4263        | 1.0   | 858  | 0.6262          | 0.7950 |
+| 0.441         | 2.0   | 1716 | 0.3486          | 0.8907 |
+| 0.2177        | 3.0   | 2574 | 0.3404          | 0.9014 |
+| 0.1635        | 4.0   | 3432 | 0.2860          | 0.9276 |
+| 0.1014        | 5.0   | 4290 | 0.2882          | 0.9313 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fa9124df3d26ba869da69303f22db84c322260908ec07a2d22c83a6dcade5b21
 size 267851024