update model card README.md

README.md

@@ -1,9 +1,10 @@
 ---
 license: mit
+base_model: prajjwal1/bert-tiny
 tags:
 - generated_from_trainer
 datasets:
-- sst2
+- spark
 metrics:
 - accuracy
 model-index:
@@ -13,13 +14,15 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: sst2
-      type: sst2
-      args: default
+      name: spark
+      type: spark
+      config: '-904912027'
+      split: train
+      args: '-904912027'
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7866666666666666
+      value: 0.7883333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +30,10 @@ 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 sst2 dataset.
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the spark dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5517
-- Accuracy: 0.7867
+- Loss: 0.5440
+- Accuracy: 0.7883
 
 ## Model description
 
@@ -61,14 +64,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5116        | 1.0   | 1500 | 0.4723          | 0.765    |
-| 0.3799        | 2.0   | 3000 | 0.5437          | 0.7733   |
-| 0.3376        | 3.0   | 4500 | 0.5517          | 0.7867   |
+| 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   |
 
 
 ### Framework versions
 
-- Transformers 4.18.0
-- Pytorch 1.8.1
-- Datasets 2.12.0
-- Tokenizers 0.12.1
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.3
+- Tokenizers 0.13.3