End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2566
-- Accuracy: 0.9246
-- F1: 0.9245
+- Loss: 0.3326
+- Accuracy: 0.9276
+- F1: 0.9275
 
 ## Model description
 
@@ -46,19 +46,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - 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: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2422          | 0.9189   | 0.9190 |
-| 0.267         | 2.0   | 626  | 0.2566          | 0.9246   | 0.9245 |
+| No log        | 1.0   | 313  | 0.2589          | 0.9118   | 0.9117 |
+| 0.266         | 2.0   | 626  | 0.2342          | 0.9254   | 0.9255 |
+| 0.266         | 3.0   | 939  | 0.3326          | 0.9276   | 0.9275 |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.0
+- Tokenizers 0.22.1

runs/Oct24_13-17-20_dd37e4074e0b/events.out.tfevents.1761311853.dd37e4074e0b.50070.4

@@ -1,3 +1,3 @@
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-size 6781
+oid sha256:2475d4b3ec0cb3daea7efc0cac9d855bbce2d332a1d10d3c250b2770255c25f3
+size 7504