End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.800575263662512
+      value: 0.7938638542665388
 ---
 
 <!-- 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: 0.5084
-- Accuracy: 0.8006
+- Loss: 0.4978
+- Accuracy: 0.7939
 
 ## Model description
 
@@ -67,8 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5883        | 0.37  | 50   | 0.5709          | 0.6913   |
-| 0.4814        | 0.75  | 100  | 0.5101          | 0.7910   |
+| 0.6045        | 0.37  | 50   | 0.5944          | 0.6913   |
+| 0.5108        | 0.75  | 100  | 0.5088          | 0.7804   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d04a1c2df980c18d33caeb3ec5b5c81f930a9823abc795ff7f55f6b9e2156632
-size 1122539105
+oid sha256:96b2a14fb1aa6e4d86d02312be139aa72026b725d8bc254c3c6f2f02f19abeca
+size 897973281

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {