End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8133333333333334
+      value: 0.9
     - name: F1
       type: f1
-      value: 0.8157894736842106
+      value: 0.9
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4204
-- Accuracy: 0.8133
-- F1: 0.8158
+- Loss: 0.3204
+- Accuracy: 0.9
+- F1: 0.9
 
 ## Model description
 

model.safetensors

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runs/Nov23_09-06-05_c137f3cfe829/events.out.tfevents.1700730370.c137f3cfe829.4627.0

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tokenizer.json

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

training_args.bin

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