Training completed!

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7872
-- Accuracy: 0.9206
+- Loss: 0.7867
+- Accuracy: 0.9203
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.3047        | 1.0   | 318  | 3.2931          | 0.7255   |
-| 2.6448        | 2.0   | 636  | 1.8849          | 0.8526   |
-| 1.5652        | 3.0   | 954  | 1.1702          | 0.8897   |
-| 1.0288        | 4.0   | 1272 | 0.8717          | 0.9145   |
-| 0.8145        | 5.0   | 1590 | 0.7872          | 0.9206   |
+| 4.3049        | 1.0   | 318  | 3.2936          | 0.7268   |
+| 2.6445        | 2.0   | 636  | 1.8843          | 0.8535   |
+| 1.5643        | 3.0   | 954  | 1.1692          | 0.8916   |
+| 1.028         | 4.0   | 1272 | 0.8712          | 0.9145   |
+| 0.8138        | 5.0   | 1590 | 0.7867          | 0.9203   |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
-- Pytorch 2.2.1+cu121
+- Transformers 4.38.2
+- Pytorch 2.2.2+cu118
 - Datasets 2.19.0
-- Tokenizers 0.19.1
+- Tokenizers 0.15.2

config.json

@@ -326,6 +326,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.40.0",
+  "transformers_version": "4.38.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 268290900

runs/Apr25_01-24-33_YOUNGKIM-PC2/events.out.tfevents.1713975889.YOUNGKIM-PC2.19328.0

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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": [
     {

tokenizer_config.json

@@ -45,7 +45,7 @@
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 512,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,

training_args.bin

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+size 4984