End of training

README.md

@@ -21,11 +21,11 @@ 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: 0.4238
-- Accuracy: 0.8454
-- F1: 0.8386
-- Precision: 0.8510
-- Recall: 0.8454
+- Loss: 0.4615
+- Accuracy: 0.8522
+- F1: 0.8506
+- Precision: 0.8536
+- Recall: 0.8522
 
 ## Model description
 
@@ -50,14 +50,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 164  | 0.4494          | 0.8316   | 0.8219 | 0.8365    | 0.8316 |
-| No log        | 2.0   | 328  | 0.4238          | 0.8454   | 0.8386 | 0.8510    | 0.8454 |
+| No log        | 1.0   | 164  | 0.4292          | 0.8247   | 0.8266 | 0.8292    | 0.8247 |
+| No log        | 2.0   | 328  | 0.4365          | 0.8351   | 0.8314 | 0.8334    | 0.8351 |
+| No log        | 3.0   | 492  | 0.4568          | 0.8385   | 0.8395 | 0.8416    | 0.8385 |
+| 0.2652        | 4.0   | 656  | 0.4615          | 0.8522   | 0.8506 | 0.8536    | 0.8522 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27a9fc1f4040794264d6f7c1f6a21a30bbb985bd8113a0247e204d7e73525b10
+oid sha256:b9eb5e7464b407f913b195204443d4d7bd00811087403428ba7304ed5ffd7f6d
 size 267838720