add model

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ikevin98/bert-base-uncased-finetuned-sst2](https://huggingface.co/ikevin98/bert-base-uncased-finetuned-sst2) on an unkown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0396
-- Accuracy: 0.7729
+- Loss: 0.8022
+- Accuracy: 0.7953
 
 ## Model description
 
@@ -35,23 +35,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0003
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.0255        | 1.0   | 3813  | 0.0237          | 0.7140   |
-| 0.0163        | 2.0   | 7626  | 0.0252          | 0.7493   |
-| 0.0073        | 3.0   | 11439 | 0.0396          | 0.7729   |
-| 0.0054        | 4.0   | 15252 | 0.0335          | 0.7661   |
-| 0.0015        | 5.0   | 19065 | 0.0457          | 0.7669   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4027        | 1.0   | 3813 | 0.8022          | 0.7953   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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