RoRoK/roberta-base-klue-ynat-classfification

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4531
+- Loss: 0.4617
 - Accuracy: 0.859
 
 ## Model description
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5211        | 1.0   | 1250 | 0.5321          | 0.84     |
+| 0.5353        | 1.0   | 1250 | 0.5345          | 0.837    |
 
 
 ### Framework versions

model.safetensors

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runs/Aug26_13-47-22_65b4426a6369/events.out.tfevents.1724680044.65b4426a6369.1355.0

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runs/Aug26_13-47-22_65b4426a6369/events.out.tfevents.1724681072.65b4426a6369.1355.1

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tokenizer.json

@@ -1,7 +1,21 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": {
+      "Fixed": 512
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 1,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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