bert-finetuned-sst2 3 epoch

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6548
-- Accuracy: 0.62
+- Loss: 0.6081
+- Accuracy: 0.64
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 13   | 0.6627          | 0.63     |
-| No log        | 2.0   | 26   | 0.6278          | 0.63     |
-| No log        | 3.0   | 39   | 0.6548          | 0.62     |
+| No log        | 1.0   | 13   | 0.6714          | 0.57     |
+| No log        | 2.0   | 26   | 0.6477          | 0.65     |
+| No log        | 3.0   | 39   | 0.6081          | 0.64     |
 
 
 ### Framework versions

model.safetensors

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runs/Mar23_19-32-12_arg10/events.out.tfevents.1711193533.arg10.75.0

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tokenizer.json

@@ -1,6 +1,11 @@
 {
   "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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