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: 1.6024
-- F1: 0.7168
+- Loss: 0.7875
+- F1: 0.7120
 
 ## Model description
 
@@ -43,22 +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: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 388  | 0.5234          | 0.7637 |
-| 0.5453        | 2.0   | 776  | 0.5314          | 0.7673 |
-| 0.4146        | 3.0   | 1164 | 0.5694          | 0.7541 |
-| 0.2822        | 4.0   | 1552 | 0.6709          | 0.7428 |
-| 0.2822        | 5.0   | 1940 | 1.0074          | 0.7154 |
-| 0.1729        | 6.0   | 2328 | 1.2874          | 0.7049 |
-| 0.0885        | 7.0   | 2716 | 1.3463          | 0.7316 |
-| 0.0656        | 8.0   | 3104 | 1.5599          | 0.7064 |
-| 0.0656        | 9.0   | 3492 | 1.5743          | 0.7195 |
-| 0.0426        | 10.0  | 3880 | 1.6024          | 0.7168 |
+| No log        | 1.0   | 388  | 0.5145          | 0.7374 |
+| 0.5332        | 2.0   | 776  | 0.5150          | 0.7256 |
+| 0.4138        | 3.0   | 1164 | 0.5950          | 0.7360 |
+| 0.2867        | 4.0   | 1552 | 0.6876          | 0.7257 |
+| 0.2867        | 5.0   | 1940 | 0.7875          | 0.7120 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eefc88ec5a7c1fbedc9fd33511f779d3fdf32b81233840bb19b3b8f0b0e20c3b
+oid sha256:b08336ee583f04c476eb4b069259fb2ad693167716ef6706cb256f451b77210b
 size 267832560