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 [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4551
-- F1: 0.6686
+- Loss: 0.5553
+- F1: 0.8878
 
 ## Model description
 
@@ -46,14 +46,17 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.4893        | 1.0   | 5    | 1.6475          | 0.4037 |
-| 2.9004        | 2.0   | 10   | 1.4551          | 0.6686 |
+| 3.292         | 1.0   | 5    | 1.4800          | 0.6191 |
+| 2.1727        | 2.0   | 10   | 1.0106          | 0.8212 |
+| 0.8573        | 3.0   | 15   | 0.7120          | 0.7959 |
+| 0.3518        | 4.0   | 20   | 0.5571          | 0.9073 |
+| 0.4904        | 5.0   | 25   | 0.5553          | 0.8878 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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