Model save

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-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2234
-- Accuracy: 0.5384
+- Loss: 1.7181
+- Accuracy: 0.5725
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 64
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: reduce_lr_on_plateau
+- lr_scheduler_type: linear
 - num_epochs: 4
 - mixed_precision_training: Native AMP
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 6.6014        | 1.0    | 543  | 1.4088          | 0.5653   |
-| 4.6014        | 2.0    | 1086 | 1.3753          | 0.5688   |
-| 3.069         | 3.0    | 1629 | 1.6580          | 0.5522   |
-| 1.4178        | 3.9931 | 2168 | 2.2234          | 0.5384   |
+| 6.7571        | 1.0    | 645  | 1.3419          | 0.5689   |
+| 4.9223        | 2.0    | 1290 | 1.2715          | 0.5910   |
+| 3.9903        | 3.0    | 1935 | 1.4913          | 0.5767   |
+| 1.32          | 3.9946 | 2576 | 1.7181          | 0.5725   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:07f876cb7217b4910fb1da7a7f294f3dedd8b4ae8416ef02f2c8965cbb3dd9be
 size 1583458240