Training completed!

README.md

@@ -3,30 +3,12 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- emotion
 metrics:
 - accuracy
 - f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: emotion
-      type: emotion
-      config: split
-      split: validation
-      args: split
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.927
-    - name: F1
-      type: f1
-      value: 0.9269586191658334
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-emotion
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2138
-- Accuracy: 0.927
-- F1: 0.9270
+- Loss: 1.0909
+- Accuracy: 0.574
+- F1: 0.4872
 
 ## Model description
 
@@ -69,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8215        | 1.0   | 250  | 0.3047          | 0.9095   | 0.9088 |
-| 0.2496        | 2.0   | 500  | 0.2138          | 0.927    | 0.9270 |
+| 1.3652        | 1.0   | 110  | 1.1431          | 0.564    | 0.4801 |
+| 1.1005        | 2.0   | 220  | 1.0909          | 0.574    | 0.4872 |
 
 
 ### Framework versions

model.safetensors

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runs/May19_17-20-45_POSEIDON/events.out.tfevents.1716128473.POSEIDON.25068.0

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training_args.bin

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