Model save

README.md

@@ -16,8 +16,8 @@ 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: 3.7512
-- Accuracy Score: 0.6826
+- Loss: 0.7971
+- Accuracy Score: 0.7156
 
 ## Model description
 
@@ -42,17 +42,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy Score |
-|:-------------:|:-----:|:-----:|:---------------:|:--------------:|
-| 0.872         | 1.0   | 2474  | 0.7988          | 0.6938         |
-| 0.6316        | 2.0   | 4948  | 0.8343          | 0.7045         |
-| 0.321         | 3.0   | 7422  | 1.2054          | 0.6865         |
-| 0.1155        | 4.0   | 9896  | 2.8960          | 0.6830         |
-| 0.0276        | 5.0   | 12370 | 3.7512          | 0.6826         |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|
+| 0.858         | 1.0   | 2474 | 0.7856          | 0.7022         |
+| 0.5382        | 2.0   | 4948 | 0.7971          | 0.7156         |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 598455164