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: 1.1247
-- Accuracy: 0.5841
-- F1 Score: 0.5479
+- Loss: 2.4876
+- Accuracy: 0.5558
+- F1 Score: 0.5450
 
 ## Model description
 
@@ -39,18 +39,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| 0.5166        | 1.0   | 1112 | 1.1247          | 0.5841   | 0.5479   |
+| 0.6381        | 1.0   | 2223 | 1.9208          | 0.5423   | 0.5413   |
+| 0.4746        | 2.0   | 4446 | 2.4876          | 0.5558   | 0.5450   |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Aug21_05-20-53_1b11b05bca4c/events.out.tfevents.1692595634.1b11b05bca4c.430.0

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