End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2066
-- Accuracy: 0.9278
+- Loss: 0.2003
+- Accuracy: 0.9346
 
 ## Model description
 
@@ -38,19 +38,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
+- learning_rate: 8.076177666053926e-05
+- train_batch_size: 32
 - eval_batch_size: 16
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2412        | 1.0   | 4210 | 0.2066          | 0.9278   |
+| 0.2406        | 1.0   | 2105 | 0.2060          | 0.9278   |
+| 0.2206        | 2.0   | 4210 | 0.2135          | 0.9266   |
+| 0.2058        | 3.0   | 6315 | 0.2003          | 0.9346   |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Mar07_13-41-06_4abb0d9b5b89/events.out.tfevents.1709821066.4abb0d9b5b89.204.4

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