End of training

README.md

@@ -2,8 +2,6 @@
 base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: my_awesome_model
   results: []
@@ -15,9 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_model
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0733
-- Accuracy: 0.4952
 
 ## Model description
 
@@ -42,14 +37,13 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 439  | 1.0786          | 0.4786   |
-| 1.0538        | 2.0   | 878  | 1.0733          | 0.4952   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                          | F1                          |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|:---------------------------:|
+| No log        | 1.0   | 439  | 1.0755          | {'accuracy': 0.48088990302338847} | {'f1': 0.32203832473628746} |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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