update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [flaubert/flaubert_small_cased](https://huggingface.co/flaubert/flaubert_small_cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1476
-- Accuracy: 0.5156
+- Loss: 1.0627
+- Accuracy: 0.5444
 
 ## Model description
 
@@ -36,23 +36,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-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: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 240  | 1.2039          | 0.4813   |
-| No log        | 2.0   | 480  | 1.1567          | 0.5115   |
-| 1.3965        | 3.0   | 720  | 1.1224          | 0.5260   |
-| 1.3965        | 4.0   | 960  | 1.1499          | 0.5135   |
-| 1.146         | 5.0   | 1200 | 1.1476          | 0.5156   |
+| No log        | 1.0   | 270  | 1.2064          | 0.4657   |
+| 1.3176        | 2.0   | 540  | 1.0933          | 0.5352   |
+| 1.3176        | 3.0   | 810  | 1.0627          | 0.5444   |
 
 
 ### Framework versions