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: 0.2535
-- Accuracy: 0.9346
+- Loss: 0.2129
+- Accuracy: 0.9266
 
 ## Model description
 
@@ -38,21 +38,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 7.354779414396935e-05
-- train_batch_size: 8
+- learning_rate: 3.007691191663324e-05
+- train_batch_size: 16
 - eval_batch_size: 16
 - 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 |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.2488        | 1.0   | 8419  | 0.2511          | 0.9289   |
-| 0.2317        | 2.0   | 16838 | 0.2570          | 0.9312   |
-| 0.2269        | 3.0   | 25257 | 0.2535          | 0.9346   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2452        | 1.0   | 4210 | 0.2070          | 0.9220   |
+| 0.2511        | 2.0   | 8420 | 0.2129          | 0.9266   |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Mar07_13-41-06_4abb0d9b5b89/events.out.tfevents.1709824467.4abb0d9b5b89.204.8

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