update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: DEREXP
   results: []
@@ -16,11 +14,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0504
-- Mse: 0.0504
-- Mae: 0.2062
-- R2: 0.9910
-- Accuracy: 0.995
+- eval_loss: 4.1301
+- eval_mse: 4.1301
+- eval_mae: 1.5957
+- eval_r2: 0.2656
+- eval_accuracy: 0.179
+- eval_runtime: 2.2105
+- eval_samples_per_second: 452.383
+- eval_steps_per_second: 28.5
+- epoch: 0.2
+- step: 1250
 
 ## Model description
 
@@ -45,16 +48,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - 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 | Mse    | Mae    | R2     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
-| 12.4633       | 1.0   | 625  | 0.0598          | 0.0598 | 0.2042 | 0.9893 | 0.975    |
-| 0.2021        | 2.0   | 1250 | 0.0607          | 0.0607 | 0.2199 | 0.9892 | 0.99     |
-| 0.1478        | 3.0   | 1875 | 0.0504          | 0.0504 | 0.2062 | 0.9910 | 0.995    |
-
+- num_epochs: 1
 
 ### Framework versions