update model card README.md

README.md

@@ -1,10 +1,9 @@
 ---
 license: mit
-base_model: prajjwal1/bert-tiny
 tags:
 - generated_from_trainer
 datasets:
-- spark
+- sst2
 metrics:
 - accuracy
 model-index:
@@ -14,15 +13,13 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: spark
-      type: spark
-      config: '-904912027'
-      split: train
-      args: '-904912027'
+      name: sst2
+      type: sst2
+      args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7883333333333333
+      value: 0.7833333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sentiment-model-saagie
 
-This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the spark dataset.
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the sst2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5440
-- Accuracy: 0.7883
+- Loss: 0.5666
+- Accuracy: 0.7833
 
 ## Model description
 
@@ -64,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5209        | 1.0   | 1500 | 0.4737          | 0.7917   |
-| 0.3807        | 2.0   | 3000 | 0.5037          | 0.7883   |
-| 0.3409        | 3.0   | 4500 | 0.5440          | 0.7883   |
+| 0.524         | 1.0   | 1500 | 0.4828          | 0.7617   |
+| 0.3834        | 2.0   | 3000 | 0.5569          | 0.7817   |
+| 0.3383        | 3.0   | 4500 | 0.5666          | 0.7833   |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu117
-- Datasets 2.14.3
-- Tokenizers 0.13.3
+- Transformers 4.18.0
+- Pytorch 1.8.1
+- Datasets 2.12.0
+- Tokenizers 0.12.1