update model card README.md

README.md

@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bb_wd
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [kktoto/tiny_bb_wd](https://huggingface.co/kktoto/tiny_bb_wd) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1348
-- Precision: 0.6462
-- Recall: 0.6109
-- F1: 0.6281
-- Accuracy: 0.9503
+- Loss: 0.1331
+- Precision: 0.6566
+- Recall: 0.6502
+- F1: 0.6533
+- Accuracy: 0.9524
 
 ## Model description
 
@@ -41,21 +41,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1535        | 1.0   | 5561  | 0.1441          | 0.6248    | 0.5802 | 0.6017 | 0.9471   |
-| 0.1415        | 2.0   | 11122 | 0.1367          | 0.6435    | 0.5975 | 0.6196 | 0.9495   |
-| 0.1368        | 3.0   | 16683 | 0.1348          | 0.6462    | 0.6109 | 0.6281 | 0.9503   |
+| 0.1193        | 1.0   | 5561  | 0.1398          | 0.6406    | 0.6264 | 0.6335 | 0.9501   |
+| 0.1259        | 2.0   | 11122 | 0.1343          | 0.6476    | 0.6300 | 0.6387 | 0.9509   |
+| 0.1283        | 3.0   | 16683 | 0.1333          | 0.6484    | 0.6367 | 0.6425 | 0.9512   |
+| 0.1217        | 4.0   | 22244 | 0.1325          | 0.6524    | 0.6380 | 0.6451 | 0.9516   |
+| 0.12          | 5.0   | 27805 | 0.1337          | 0.6571    | 0.6377 | 0.6472 | 0.9522   |
+| 0.1187        | 6.0   | 33366 | 0.1319          | 0.6630    | 0.6297 | 0.6459 | 0.9525   |
+| 0.116         | 7.0   | 38927 | 0.1318          | 0.6600    | 0.6421 | 0.6509 | 0.9525   |
+| 0.1125        | 8.0   | 44488 | 0.1337          | 0.6563    | 0.6481 | 0.6522 | 0.9523   |
+| 0.1118        | 9.0   | 50049 | 0.1329          | 0.6575    | 0.6477 | 0.6526 | 0.9524   |
+| 0.1103        | 10.0  | 55610 | 0.1331          | 0.6566    | 0.6502 | 0.6533 | 0.9524   |
 
 
 ### Framework versions