update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: mit
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: test_trainer
   results: []
@@ -12,7 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_trainer
 
-This model is a fine-tuned version of [flaubert/flaubert_base_cased](https://huggingface.co/flaubert/flaubert_base_cased) on the None dataset.
+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
 
 ## Model description
 
@@ -31,16 +36,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- 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: 3
+- num_epochs: 5
 
 ### 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   |
 
 
 ### Framework versions