End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9712
-- Accuracy: 0.8162
-- F1: 0.8681
+- Loss: 1.0887
+- Accuracy: 0.8431
+- F1: 0.8904
 
 ## Model description
 
@@ -45,14 +45,15 @@ 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: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 459  | 0.9050          | 0.8168   | 0.8678 |
-| 0.1289        | 2.0   | 918  | 0.9712          | 0.8162   | 0.8681 |
+| No log        | 1.0   | 459  | 0.8158          | 0.8407   | 0.8900 |
+| 0.0948        | 2.0   | 918  | 1.0599          | 0.8186   | 0.8775 |
+| 0.1667        | 3.0   | 1377 | 1.0887          | 0.8431   | 0.8904 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9caf71e52f53f2e4db5de882c4ec0c6f5b610422bf7aa9a204d4f96360683ff2
 size 437958648