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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5317
-- Accuracy: 0.8137
+- Loss: 0.6257
+- Accuracy: 0.8274
 
 ## Model description
 
@@ -43,15 +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: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 55   | 0.7014          | 0.7440   |
-| No log        | 2.0   | 110  | 0.5686          | 0.7977   |
-| No log        | 3.0   | 165  | 0.5317          | 0.8137   |
+| No log        | 1.0   | 55   | 0.9614          | 0.6629   |
+| No log        | 2.0   | 110  | 0.5912          | 0.8023   |
+| No log        | 3.0   | 165  | 0.5727          | 0.8217   |
+| No log        | 4.0   | 220  | 0.6350          | 0.8194   |
+| No log        | 5.0   | 275  | 0.6257          | 0.8274   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec03_05-46-23_2a1a911e1879/events.out.tfevents.1701582383.2a1a911e1879.1355.1

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training_args.bin

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