Model save

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4186
+- Loss: 0.2538
 - Accuracy: 0.85
 
 ## Model description
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | No log        | 1.0   | 7    | 0.4392          | 0.85     |
-| No log        | 2.0   | 14   | 0.4308          | 0.85     |
-| No log        | 3.0   | 21   | 0.4261          | 0.85     |
-| No log        | 4.0   | 28   | 0.4213          | 0.85     |
-| No log        | 5.0   | 35   | 0.4186          | 0.85     |
+| No log        | 2.0   | 14   | 0.3709          | 0.85     |
+| No log        | 3.0   | 21   | 0.3180          | 0.85     |
+| No log        | 4.0   | 28   | 0.2727          | 0.85     |
+| No log        | 5.0   | 35   | 0.2538          | 0.85     |
 
 
 ### Framework versions

loss.json

@@ -1,29 +1,30 @@
 {
+    "train": [],
     "eval": [
         {
             "epoch": 1.0,
             "accuracy": 0.85,
-            "loss": 0.4391759932041168
+            "loss": 0.4392448365688324
         },
         {
             "epoch": 2.0,
             "accuracy": 0.85,
-            "loss": 0.4307602047920227
+            "loss": 0.37088996171951294
         },
         {
             "epoch": 3.0,
             "accuracy": 0.85,
-            "loss": 0.42608484625816345
+            "loss": 0.3180195391178131
         },
         {
             "epoch": 4.0,
             "accuracy": 0.85,
-            "loss": 0.4212767481803894
+            "loss": 0.27274245023727417
         },
         {
             "epoch": 5.0,
             "accuracy": 0.85,
-            "loss": 0.41863274574279785
+            "loss": 0.2538265287876129
         }
     ]
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560

training_args.bin

@@ -1,3 +1,3 @@
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 size 4856