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-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6351
-- Accuracy: 0.739
-- F1: 0.8057
+- Loss: 0.5492
+- Accuracy: 0.745
+- F1: 0.8200
 
 ## Model description
 
@@ -45,15 +45,14 @@ 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: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6139        | 1.0   | 1502 | 0.5346          | 0.745    | 0.8205 |
-| 0.5662        | 2.0   | 3004 | 0.5372          | 0.74     | 0.8153 |
-| 0.5055        | 3.0   | 4506 | 0.6351          | 0.739    | 0.8057 |
+| 0.6247        | 1.0   | 1502 | 0.5405          | 0.748    | 0.8230 |
+| 0.5825        | 2.0   | 3004 | 0.5492          | 0.745    | 0.8200 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul27_07-44-18_1f5c419592ca/events.out.tfevents.1690444222.1f5c419592ca.1239.0

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