update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-sst2
   results: []
@@ -14,10 +12,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-sst2
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [Telstema/distilbert-base-uncased-finetuned-sst2](https://huggingface.co/Telstema/distilbert-base-uncased-finetuned-sst2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6027
-- Accuracy: 0.6541
+- eval_loss: 2.7080
+- eval_accuracy: 0.7218
+- eval_runtime: 13.1083
+- eval_samples_per_second: 10.146
+- eval_steps_per_second: 0.687
+- epoch: 2.0
+- step: 100
 
 ## Model description
 
@@ -36,22 +39,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
+- learning_rate: 3.909275911638729e-06
+- train_batch_size: 8
 - eval_batch_size: 16
-- seed: 42
+- seed: 23
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 25   | 0.6027          | 0.6541   |
-| No log        | 2.0   | 50   | 0.5744          | 0.6541   |
-| No log        | 3.0   | 75   | 0.5620          | 0.6541   |
-
+- num_epochs: 2
 
 ### Framework versions