update model card README.md

README.md

@@ -21,16 +21,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5022
+      value: 0.5024
     - name: F1
       type: f1
-      value: 0.5068236396009308
+      value: 0.5063190059782597
     - name: Precision
       type: precision
-      value: 0.5140879805926771
+      value: 0.5121183330982292
     - name: Recall
       type: recall
-      value: 0.5022
+      value: 0.5024
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,11 +40,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mrm8488/electricidad-base-generator](https://huggingface.co/mrm8488/electricidad-base-generator) on the amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.5022
-- F1: 0.5068
-- Loss: 1.8108
-- Precision: 0.5141
-- Recall: 0.5022
+- Loss: 1.8030
+- Accuracy: 0.5024
+- F1: 0.5063
+- Precision: 0.5121
+- Recall: 0.5024
 
 ## Model description
 
@@ -69,7 +69,7 @@ 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: 5
+- num_epochs: 7
 
 ### Training results
 
@@ -78,6 +78,8 @@ The following hyperparameters were used during training:
 | 0.5135        | 1.0   | 1000 | 0.4886   | 0.4929 | 1.6580          | 0.5077    | 0.4886 |
 | 0.4138        | 2.0   | 2000 | 0.5044   | 0.5093 | 1.7951          | 0.5183    | 0.5044 |
 | 0.4244        | 3.0   | 3000 | 0.5022   | 0.5068 | 1.8108          | 0.5141    | 0.5022 |
+| 0.4231        | 6.0   | 6000 | 1.7636   | 0.4972 | 0.5018          | 0.5092    | 0.4972 |
+| 0.3574        | 7.0   | 7000 | 1.8030   | 0.5024 | 0.5063          | 0.5121    | 0.5024 |
 
 
 ### Framework versions