End of training

README.md

@@ -16,7 +16,7 @@ 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 the ag_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2871
+- Loss: 0.3583
 
 ## Model description
 
@@ -42,15 +42,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 0.3146        | 1.0   | 7500  | 0.3420          |
-| 0.2513        | 2.0   | 15000 | 0.3347          |
-| 0.2699        | 3.0   | 22500 | 0.2871          |
+| 0.3692        | 1.0   | 7500  | 0.4305          |
+| 1.6035        | 2.0   | 15000 | 1.8071          |
+| 0.6766        | 3.0   | 22500 | 0.4494          |
+| 0.3733        | 4.0   | 30000 | 0.3943          |
+| 0.2483        | 5.0   | 37500 | 0.3583          |
 
 
 ### Framework versions

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