Model save

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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6032
-- Accuracy: 0.7
+- Loss: 0.4186
+- Accuracy: 0.85
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 0.6426          | 0.7      |
-| No log        | 2.0   | 14   | 0.6486          | 0.7      |
-| No log        | 3.0   | 21   | 0.6032          | 0.7      |
-| No log        | 4.0   | 28   | 0.6080          | 0.7      |
-| No log        | 5.0   | 35   | 0.6080          | 0.7      |
+| 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     |
 
 
 ### Framework versions

loss.json

@@ -2,28 +2,28 @@
     "eval": [
         {
             "epoch": 1.0,
-            "accuracy": 0.65,
-            "loss": 0.71783447265625
+            "accuracy": 0.85,
+            "loss": 0.4391759932041168
         },
         {
             "epoch": 2.0,
-            "accuracy": 0.65,
-            "loss": 0.6631327867507935
+            "accuracy": 0.85,
+            "loss": 0.4307602047920227
         },
         {
             "epoch": 3.0,
-            "accuracy": 0.7,
-            "loss": 0.5860289335250854
+            "accuracy": 0.85,
+            "loss": 0.42608484625816345
         },
         {
             "epoch": 4.0,
-            "accuracy": 0.75,
-            "loss": 0.6119706034660339
+            "accuracy": 0.85,
+            "loss": 0.4212767481803894
         },
         {
             "epoch": 5.0,
-            "accuracy": 0.75,
-            "loss": 0.6175253987312317
+            "accuracy": 0.85,
+            "loss": 0.41863274574279785
         }
     ]
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:7947bd189c44afec8952236c83ea02c9c2c9a9c41cef9d23e4031f741e0e0c70
 size 267832560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a03889754969c84e1c4078e7a4c39e1366917d6f19acf2c1ec411e395223d230
-size 4920
+oid sha256:afbe7170a16c0484b8a000fde8f40721dc108886e901e8628e98688ae7002f16
+size 4856