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: 0.6796
-- F1: 0.5931
-- Accuracy: 0.5906
+- Loss: 0.6807
+- F1: 0.4168
+- Accuracy: 0.5725
 
 ## Model description
 
@@ -41,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Use OptimizerNames.SGD and the args are:
 No additional optimizer arguments
@@ -53,11 +53,11 @@ No additional optimizer arguments
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
-| No log        | 1.0   | 69   | 0.6885          | 0.5479 | 0.5217   |
-| 0.6865        | 2.0   | 138  | 0.6849          | 0.5670 | 0.5471   |
-| 0.6791        | 3.0   | 207  | 0.6819          | 0.6053 | 0.5942   |
-| 0.6791        | 4.0   | 276  | 0.6803          | 0.5946 | 0.5906   |
-| 0.6764        | 5.0   | 345  | 0.6796          | 0.5931 | 0.5906   |
+| No log        | 1.0   | 35   | 0.6808          | 0.4168 | 0.5725   |
+| No log        | 2.0   | 70   | 0.6807          | 0.4168 | 0.5725   |
+| 0.6959        | 3.0   | 105  | 0.6807          | 0.4168 | 0.5725   |
+| 0.6959        | 4.0   | 140  | 0.6807          | 0.4168 | 0.5725   |
+| 0.6959        | 5.0   | 175  | 0.6807          | 0.4168 | 0.5725   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7909f4de2069bbf60d7efc0e7f2d8669278fec6b4293a63252625b44dc9be23
+oid sha256:043138127b41abfb701e65ca808227a033d8bab60b961a3a668516e5ce982de8
 size 598828592