End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7938638542665388
+      value: 0.8044103547459253
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4978
-- Accuracy: 0.7939
+- Loss: 0.5092
+- Accuracy: 0.8044
 
 ## Model description
 
@@ -67,8 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6045        | 0.37  | 50   | 0.5944          | 0.6913   |
-| 0.5108        | 0.75  | 100  | 0.5088          | 0.7804   |
+| 0.5892        | 0.37  | 50   | 0.5679          | 0.6913   |
+| 0.488         | 0.75  | 100  | 0.5486          | 0.7948   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 897973281
+oid sha256:642cc89e2e1e37d4626ff5887f8c7974fb842e3577185968c580189f2635d409
+size 897386465