update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny-classification-fast-2
 
-This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9520
-- Accuracy: 0.6111
+- Loss: 0.7317
+- Accuracy: 0.8089
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 128
-- eval_batch_size: 256
+- 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: linear
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 271  | 2.0859          | 0.5593   |
-| 2.1669        | 2.0   | 542  | 1.9520          | 0.6111   |
+| 0.3759        | 1.0   | 1021 | 0.6279          | 0.7853   |
+| 0.2043        | 2.0   | 2042 | 0.7317          | 0.8089   |
 
 
 ### Framework versions