Upload tokenizer

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
-base_model: google/t5-efficient-tiny
 tags:
 - generated_from_trainer
+base_model: google/t5-efficient-tiny
 datasets:
 - generator
 metrics:
@@ -14,8 +14,8 @@ model-index:
 - name: salt_language_Classification
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: generator
       type: generator
@@ -23,18 +23,18 @@ model-index:
       split: train
       args: default
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9781586021505376
-    - name: Precision
-      type: precision
+      name: Accuracy
+    - type: precision
       value: 0.9786579334649282
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.9781586021505376
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.97818824673623
+      name: F1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

tokenizer.json

@@ -2,13 +2,13 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 5,
+    "max_length": 40,
     "strategy": "LongestFirst",
     "stride": 0
   },
   "padding": {
     "strategy": {
-      "Fixed": 5
+      "Fixed": 40
     },
     "direction": "Right",
     "pad_to_multiple_of": null,