trainer: training complete at 2024-02-10 15:15:32.980545.

README.md

@@ -6,6 +6,7 @@ tags:
 datasets:
 - essay_dataset
 metrics:
+- accuracy
 - f1
 model-index:
 - name: distilbert_B001
@@ -20,9 +21,14 @@ model-index:
       split: test
       args: mittelwerte
     metrics:
+    - name: Accuracy
+      type: accuracy
+      value:
+        accuracy: 0.5617977528089888
     - name: F1
       type: f1
-      value: 0.23203463203463204
+      value:
+        f1: 0.23245798319327732
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +38,9 @@ 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 the essay_dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2914
-- F1: 0.2320
+- Loss: 1.2934
+- Accuracy: {'accuracy': 0.5617977528089888}
+- F1: {'f1': 0.23245798319327732}
 
 ## Model description
 
@@ -62,12 +69,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 42   | 1.6710          | 0.1823 |
-| No log        | 2.0   | 84   | 1.3821          | 0.2357 |
-| No log        | 3.0   | 126  | 1.3017          | 0.2261 |
-| No log        | 4.0   | 168  | 1.2914          | 0.2320 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                          |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:---------------------------:|
+| No log        | 1.0   | 42   | 1.6271          | {'accuracy': 0.449438202247191}  | {'f1': 0.17598379064544478} |
+| No log        | 2.0   | 84   | 1.3771          | {'accuracy': 0.5393258426966292} | {'f1': 0.22072649572649572} |
+| No log        | 3.0   | 126  | 1.2831          | {'accuracy': 0.5617977528089888} | {'f1': 0.232519422863485}   |
+| No log        | 4.0   | 168  | 1.2934          | {'accuracy': 0.5617977528089888} | {'f1': 0.23245798319327732} |
 
 
 ### Framework versions

model.safetensors

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 size 267854100

training_args.bin

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