Training completed!

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-clinc
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-clinc
 
 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
 
 ## Model description
 
@@ -45,17 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| 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   |
-
-
 ### Framework versions
 
 - Transformers 4.38.1

model.safetensors

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