Update README.md

README.md

@@ -13,72 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cyber_regression_model
 
-This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0306
-- Mse: 0.0306
-- Mae: 0.1453
-- R2: 0.7738
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-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: 30
-
-### Training results
-
-| Training Loss | Epoch | Step   | Validation Loss | Mse    | Mae    | R2     |
-|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|
-| 0.013         | 1.0   | 10304  | 0.0306          | 0.0306 | 0.1453 | 0.7738 |
-| 0.0093        | 2.0   | 20608  | 0.0101          | 0.0101 | 0.0676 | 0.9252 |
-| 0.0064        | 3.0   | 30912  | 0.0124          | 0.0124 | 0.0791 | 0.9080 |
-| 0.0048        | 4.0   | 41216  | 0.0096          | 0.0096 | 0.0706 | 0.9291 |
-| 0.0039        | 5.0   | 51520  | 0.0076          | 0.0076 | 0.0568 | 0.9438 |
-| 0.0033        | 6.0   | 61824  | 0.0090          | 0.0090 | 0.0603 | 0.9336 |
-| 0.0035        | 7.0   | 72128  | 0.0074          | 0.0074 | 0.0548 | 0.9455 |
-| 0.0024        | 8.0   | 82432  | 0.0073          | 0.0073 | 0.0504 | 0.9460 |
-| 0.002         | 9.0   | 92736  | 0.0068          | 0.0068 | 0.0495 | 0.9494 |
-| 0.0018        | 10.0  | 103040 | 0.0073          | 0.0073 | 0.0525 | 0.9459 |
-| 0.0016        | 11.0  | 113344 | 0.0067          | 0.0067 | 0.0470 | 0.9507 |
-| 0.0013        | 12.0  | 123648 | 0.0068          | 0.0068 | 0.0512 | 0.9499 |
-| 0.0013        | 13.0  | 133952 | 0.0076          | 0.0076 | 0.0557 | 0.9435 |
-| 0.0012        | 14.0  | 144256 | 0.0066          | 0.0066 | 0.0493 | 0.9508 |
-| 0.0009        | 15.0  | 154560 | 0.0069          | 0.0069 | 0.0476 | 0.9492 |
-| 0.0009        | 16.0  | 164864 | 0.0065          | 0.0065 | 0.0479 | 0.9517 |
-| 0.0008        | 17.0  | 175168 | 0.0067          | 0.0067 | 0.0476 | 0.9502 |
-| 0.0007        | 18.0  | 185472 | 0.0075          | 0.0075 | 0.0530 | 0.9445 |
-| 0.0006        | 19.0  | 195776 | 0.0067          | 0.0067 | 0.0495 | 0.9508 |
-| 0.0006        | 20.0  | 206080 | 0.0068          | 0.0068 | 0.0485 | 0.9500 |
-| 0.0004        | 21.0  | 216384 | 0.0066          | 0.0066 | 0.0452 | 0.9512 |
-| 0.0004        | 22.0  | 226688 | 0.0071          | 0.0071 | 0.0506 | 0.9473 |
-| 0.0003        | 23.0  | 236992 | 0.0069          | 0.0069 | 0.0490 | 0.9492 |
-| 0.0003        | 24.0  | 247296 | 0.0068          | 0.0068 | 0.0468 | 0.9495 |
-| 0.0003        | 25.0  | 257600 | 0.0067          | 0.0067 | 0.0474 | 0.9501 |
-| 0.0002        | 26.0  | 267904 | 0.0068          | 0.0068 | 0.0477 | 0.9498 |
-| 0.0002        | 27.0  | 278208 | 0.0070          | 0.0070 | 0.0486 | 0.9482 |
-| 0.0002        | 28.0  | 288512 | 0.0067          | 0.0067 | 0.0469 | 0.9503 |
-| 0.0001        | 29.0  | 298816 | 0.0068          | 0.0068 | 0.0478 | 0.9497 |
-| 0.0002        | 30.0  | 309120 | 0.0068          | 0.0068 | 0.0473 | 0.9498 |
 
 
 ### Framework versions