Model save

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0500
-- F1: 0.8085
+- Loss: 0.0636
+- F1: 0.6667
 
 ## Model description
 
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 12
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -52,15 +52,7 @@ The following hyperparameters were used during training:
 | 0.0462        | 1.0   | 4604  | 0.4793 | 0.0570          |
 | 0.0006        | 2.0   | 9208  | 0.4261 | 0.0783          |
 | 0.0006        | 3.0   | 13812 | 0.6780 | 0.0492          |
-| 0.0002        | 4.0   | 18416 | 0.6523 | 0.0683          |
-| 0.0001        | 5.0   | 23020 | 0.5759 | 0.0833          |
-| 0.0154        | 6.0   | 27624 | 0.6762 | 0.0611          |
-| 0.0001        | 7.0   | 32228 | 0.6423 | 0.0836          |
-| 0.0           | 8.0   | 36832 | 0.5962 | 0.0889          |
-| 0.0006        | 9.0   | 41436 | 0.0773 | 0.5344          |
-| 0.0           | 10.0  | 46040 | 0.0865 | 0.5869          |
-| 0.0           | 11.0  | 50644 | 0.0928 | 0.6241          |
-| 0.0           | 12.0  | 55248 | 0.0907 | 0.6394          |
+| 0.0002        | 4.0   | 18416 | 0.0636 | 0.6667          |
 
 
 ### Framework versions