update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [outputDAQonly09/](https://huggingface.co/outputDAQonly09/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4964
-- Accuracy: 0.9068
+- Loss: 0.8105
+- Accuracy: 0.8757
 
 ## Model description
 
@@ -36,32 +36,32 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 15.0
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 4.0196        | 1.0   | 1320  | 3.1691          | 0.4232   |
-| 2.5409        | 2.0   | 2640  | 2.0495          | 0.6435   |
-| 1.8396        | 3.0   | 3960  | 1.3566          | 0.7861   |
-| 1.0986        | 4.0   | 5280  | 0.9565          | 0.8556   |
-| 0.6711        | 5.0   | 6600  | 0.7119          | 0.8803   |
-| 0.4456        | 6.0   | 7920  | 0.5805          | 0.8912   |
-| 0.2563        | 7.0   | 9240  | 0.5124          | 0.8995   |
-| 0.1686        | 8.0   | 10560 | 0.4953          | 0.9022   |
-| 0.1135        | 9.0   | 11880 | 0.4863          | 0.9022   |
-| 0.0846        | 10.0  | 13200 | 0.4893          | 0.9049   |
-| 0.07          | 11.0  | 14520 | 0.4860          | 0.9077   |
-| 0.0487        | 12.0  | 15840 | 0.4889          | 0.9059   |
-| 0.0342        | 13.0  | 17160 | 0.4926          | 0.9068   |
-| 0.0332        | 14.0  | 18480 | 0.4951          | 0.9068   |
-| 0.029         | 15.0  | 19800 | 0.4964          | 0.9068   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 330  | 3.9924          | 0.2230   |
+| 4.3795        | 2.0   | 660  | 3.1812          | 0.3958   |
+| 4.3795        | 3.0   | 990  | 2.5904          | 0.5512   |
+| 3.2046        | 4.0   | 1320 | 2.1536          | 0.6408   |
+| 2.3683        | 5.0   | 1650 | 1.8079          | 0.7130   |
+| 2.3683        | 6.0   | 1980 | 1.5420          | 0.7687   |
+| 1.8065        | 7.0   | 2310 | 1.3434          | 0.8053   |
+| 1.373         | 8.0   | 2640 | 1.1882          | 0.8254   |
+| 1.373         | 9.0   | 2970 | 1.0700          | 0.8400   |
+| 1.0931        | 10.0  | 3300 | 0.9791          | 0.8510   |
+| 0.8714        | 11.0  | 3630 | 0.9202          | 0.8620   |
+| 0.8714        | 12.0  | 3960 | 0.8641          | 0.8684   |
+| 0.7428        | 13.0  | 4290 | 0.8372          | 0.8748   |
+| 0.6531        | 14.0  | 4620 | 0.8168          | 0.8766   |
+| 0.6531        | 15.0  | 4950 | 0.8105          | 0.8757   |
 
 
 ### Framework versions