update model card README.md

README.md

@@ -4,26 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - glue
-metrics:
-- accuracy
-- f1
 model-index:
 - name: distilbert-sst2-mahtab
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: glue
-      type: glue
-      args: sst2
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8979357798165137
-    - name: F1
-      type: f1
-      value: 0.9010011123470522
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5766
-- Accuracy: 0.8979
-- F1: 0.9010
+- eval_loss: 0.4982
+- eval_accuracy: 0.8830
+- eval_runtime: 2.3447
+- eval_samples_per_second: 371.91
+- eval_steps_per_second: 46.489
+- epoch: 1.0
+- step: 8419
 
 ## Model description
 
@@ -62,18 +49,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.1802        | 1.0   | 8419  | 0.4982          | 0.8830   | 0.8833 |
-| 0.0987        | 2.0   | 16838 | 0.5416          | 0.8979   | 0.9025 |
-| 0.0534        | 3.0   | 25257 | 0.5766          | 0.8979   | 0.9010 |
-
-
 ### Framework versions
 
-- Transformers 4.13.0
+- Transformers 4.15.0
 - Pytorch 1.10.0+cu111
-- Datasets 1.16.1
+- Datasets 1.17.0
 - Tokenizers 0.10.3