update model card README.md

README.md

@@ -1,9 +1,9 @@
 ---
-license: mit
+license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
-- accuracy
+- f1
 model-index:
 - name: humor-no-humor
   results: []
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # humor-no-humor
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1510
-- Accuracy: 0.9814
+- Loss: 0.1269
+- F1: 0.9537
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-06
-- train_batch_size: 4
-- eval_batch_size: 4
+- 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
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.0066        | 1.0   | 6706  | 0.1510          | 0.9814   |
-| 0.0014        | 2.0   | 13412 | 0.1526          | 0.9817   |
-| 0.0           | 3.0   | 20118 | 0.1538          | 0.9820   |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1707        | 1.0   | 1677 | 0.1398          | 0.9423 |
+| 0.1427        | 2.0   | 3354 | 0.1291          | 0.9531 |
+| 0.1384        | 3.0   | 5031 | 0.1269          | 0.9537 |
 
 
 ### Framework versions