Update README.md

README.md

@@ -24,52 +24,4 @@ It achieves the following results on the evaluation set:
 - Precision: 0.5070
 - Recall: 0.5725
 - F1: 0.5377
-- Accuracy: 0.7903
-
-## 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: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 45   | 1.5295          | 0.2627    | 0.0223 | 0.0411 | 0.6639   |
-| No log        | 2.0   | 90   | 1.2463          | 0.3241    | 0.2831 | 0.3022 | 0.6845   |
-| No log        | 3.0   | 135  | 1.0915          | 0.3560    | 0.4052 | 0.3790 | 0.7005   |
-| No log        | 4.0   | 180  | 0.9411          | 0.5225    | 0.3180 | 0.3954 | 0.7428   |
-| No log        | 5.0   | 225  | 0.8653          | 0.4437    | 0.5304 | 0.4832 | 0.7580   |
-| No log        | 6.0   | 270  | 0.7936          | 0.4913    | 0.5362 | 0.5128 | 0.7798   |
-| No log        | 7.0   | 315  | 0.7715          | 0.4974    | 0.5623 | 0.5279 | 0.7840   |
-| No log        | 8.0   | 360  | 0.7545          | 0.5083    | 0.5601 | 0.5329 | 0.7880   |
-| No log        | 9.0   | 405  | 0.7464          | 0.5125    | 0.5694 | 0.5395 | 0.7921   |
-| No log        | 10.0  | 450  | 0.7475          | 0.5070    | 0.5725 | 0.5377 | 0.7903   |
-
-
-### Framework versions
-
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Accuracy: 0.7903