End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5810
-- Accuracy: 0.729
-- F1: 0.8082
+- Loss: 0.8336
+- Accuracy: 0.718
+- F1: 0.7914
 
 ## Model description
 
@@ -44,13 +44,15 @@ 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: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6187        | 1.0   | 1502 | 0.5810          | 0.729    | 0.8082 |
+| 0.63          | 1.0   | 1502 | 0.5658          | 0.724    | 0.8006 |
+| 0.5902        | 2.0   | 3004 | 0.5994          | 0.724    | 0.7943 |
+| 0.5357        | 3.0   | 4506 | 0.8336          | 0.718    | 0.7914 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul13_01-16-19_d23e230a3c76/events.out.tfevents.1689211391.d23e230a3c76.570.0

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